bluuebunny/crossref_metadata_2025_split huggingface dataset:
V/Zn Incorporated-MCM-41: Synthesis, Characterization and Visible Light Photocatalytic Activity for Tetracycline Degradation
Authors: Wahba Mohammed Ahmed , Khaled Rabab Khaled 
Published: January 2025

Abstract
Water pollution by pharmaceutical pollutants such as antibiotics represents a serious environmental crisis which is rising day by day. So, the development of new efficient visible light photocatalysts has long been imperative to address the water pollution. In this study, zinc/vanadium (Zn/V) incorporated MCM-41 (Mobil Composition of Matter No. 41) (ZVM) has been successfully synthesized using a simple surfactant-coprecipitation assisted method and evaluated as an efficient visible light photocatalyst for tetracycline (TC) fast degradation. The effects of Zn/V metal cations’ synergistic effect on morphological, surface, optical, and removal capability of MCM-41-metal incorporated samples were explored. Compared to pure silica, ZVM mesoporous material unveiled reduced pore diameter, thicker wall and reduced Brunauer-Emmett-Teller surface area (BETs) with still preserved ordered hexagonal structure. Scanning electron microscopy-transmission electron microscopy (SEM-TEM) analysis revealed significant morphological changes in MCM-41 upon Zn/V incorporation. Zn/V modification reduced the MCM-41 bandgap energy and this suggests the applicability of this tailored material in solar energy photocatalysis applications. The ZVM catalyst, containing 4 wt% of each metal (Zn and V), demonstrated exceptional performance in degrading TC, achieving a degradation efficiency of 98.13% within just 25 min. The resulting material exhibited improved ion-exchange capacity, increased number of active sites, and optimized properties, leading to significantly enhanced catalytic performance in specific catalytic reactions. Additionally, a possible photocatalytic mechanism for degradation of TC over ZVM has been proposed and involvement of holes (h+) and hydroxyl radicals as reactive species is elucidated by radical trapping experiments. These results demonstrate the potential of ZVM as an efficient visible light photocatalyst for fast degradation of tetracycline with good recovery and recyclability which can be an efficient tool to meet the UNs’ SDG:6.
Cyberbullying and cyberstalking in higher education: policies and practices for supporting students and university staff
Authors: Bussu Anna , Pulina Manuela , Ashton Sally-Ann , Mangiarulo Marta 
Published: January 2025

Abstract
This paper explores cyberbullying and cyberstalking victimisation in a Higher Education community and potential strategies for better supporting victims. It analyses qualitative responses from a convenience sample of students and staff who experienced these adverse behaviours. The data were collected from 34 self-selected respondents from a university in the United Kingdom. All qualitative responses were analysed using thematic analysis through ATLAS.ti 7.5. The interpretation of the data adopted a constructivist epistemological lens. Two-thirds of the sample reported cyber-victimisation formally to the police and/or their employers, but they encountered diverse responses, ranging from strong support to feeling judged or misunderstood. The study highlights that several victims adopted personal strategies to counteract cyberbullying and cyberstalking. Support from family and friends emerged as the primary protective factor for students and university staff. The findings contribute to the development of best practices and policies, as well as the mitigation of risk factors, ultimately fostering cyber user resilience.
Transthyretin Cardiac Amyloidosis: Current and Emerging Therapies
Authors: Patel Aditi G. M. , Li Pengyang , Badrish Narotham , Kesari Aditya , Shah Keyur B. 
Published: January 2025

Abstract

Purpose of Review
In this article, we describe current and newer TTR stabilizers, TTR silencers which include small interfering RNA agents (siRNA), antisense oligonucleotides (ASO) and CRISPR-Cas9 gene editing, and TTR depleters, which investigates the use of monoclonal antibodies to remove amyloid fibril deposits for patients with advanced disease.

Recent Findings
Once thought to be a rare and fatal condition, increased recognition, improved non-invasive diagnostic tools, and the explosive development of novel therapies, has transformed the landscape of transthyretin amyloid cardiomyopathy (ATTR-CM). Advances in cardiac imaging with respect to echocardiography, cardiac magnetic resonance imaging (CMR), and radionuclide bone scintigraphy has increased the diagnosis of ATTR-CM over the last twenty years. Ongoing clinical trials are evaluating several novel therapies at several mechanistic targets in the transthyretin (TTR) amyloidogenesis cascade, including the recently published findings from the study of vutrisiran, a siRNA agent.

Summary
Our review provides a comprehensive summary of current and emerging therapies for ATTR-CM. While these are promising, disease-modifying treatments, reaching vulnerable populations early in the disease course should be a focus for future studies and interventions.
Evaluating CK20 and MCPyV Antibody Clones in Diagnosing Merkel Cell Carcinoma
Authors: Yeni Erdem Begum , Baykal Can , Ozluk Yasemin , Ahmed Melin A. , Kozanoglu Erol , Saip Pinar , Buyukbabani Nesimi , Ozturk Sari Sule 
Published: January 2025

Abstract
Merkel cell carcinoma (MCC) is diagnosed through histopathological and immunohistochemical examination of biopsies from skin or other organs. Its distinguishing features include perinuclear dot-like staining with Cytokeratin 20 (CK20) and detection of Merkel cell polyomavirus (MCPyV) using various methods. However, CK20 and MCPyV negative MCC cases have been reported at varying rates. In this single center cross-sectional study, we aimed to determine which clones are more effective in diagnosing MCC by comparing the performance of CK20 antibody clones Ks20.8 and SP33, as well as MCPyV antibody clones Ab3 and CM2B4. Fifty-four patients diagnosed with MCC were included. Among these, 42 cases were primary cutaneous, and 12 cases were nodal MCC. Fifty-two (96.3%) cases were positive with both CK20 clones, while two cases were negative. Clone SP33 stained areas of necrosis, whereas Ks20.8 showed no aberrant staining. MCPyV was detected in 44 cases (81.5%) using clone Ab3 and 39 cases (72.2%) using clone CM2B4. Staining with MCPyV clone Ab3 was diffuse and strong in most cases, while approximately 30% of CM2B4-positive cases exhibited low percentages and/or weak staining, complicating the evaluation. The two CK20-negative cases were also negative with both MCPyV clones. Our data demonstrated that CK20 clone Ks20.8 may be preferred for MCC diagnosis due to its consistent performance and lack of aberrant staining. Similarly, MCPyV clone Ab3 appears superior to CM2B4 for identifying MCPyV-positive cases.
Developing surrogate models for the early-stage design of residential blocks using graph neural networks
Authors: Wu Zhaoji , Li Mingkai , Liu Wenli , Cheng Jack C. P. , Wang Zhe , Kwok Helen H. L. , Huang Cong , Hou Fangli 
Published: January 2025

Abstract
Building simulation based on physical modeling is commonly adopted for performance prediction, but the high time costs hinder its application in the early design stage of buildings. Data-driven surrogate models have been proposed as a means to replicate computationally expensive simulation models. However, existing surrogate models for sustainable residential block design are limited in scope, focusing either on individual buildings or on specific cases within multi-block projects. This study leverages graph neural networks to develop optimal surrogate models incorporating inter-building effects to predict multiple indicators of sustainable performance for residential blocks at a region level. A graph schema is proposed to represent the general geometric features and relations among buildings in residential block design. A regional dataset is generated for model training and testing, using real residential zones in Hong Kong. The surrogate models are developed and evaluated, using two kinds of architectures (individual architectures for specific indicators and an integrative architecture) and three different neural networks (graph attention network (GAT), graph convolutional network, and artificial neural network). The results showed that the surrogate models using the individual architectures and GAT outperform the models using other architectures and neural networks. These surrogate models achieve a high prediction accuracy with CV(RMSE)s of 11.79%, 7.63%, and 8.00% in terms of energy consumption, indoor thermal comfort, and daylighting, respectively, on the regional test set. Moreover, they enable a significant acceleration of the performance evaluation, reducing the calculation time from 6.346 min to 1.565 ms (243,297 times) per case compared to physics-based simulations.
Using inquiry-based learning approach in the teaching process of divisibility rules
Authors: Teke Bedirhan , Çalışıcı Hamza 
Published: January 2025

Abstract
The aim of this study is to reveal the impact of Inquiry-Based Learning (IBL) on students’ ability to come up with the rules of divisibility themselves and on their academic achievement in the 8th grade Mathematics course as well as to obtain students’ views on the learning and teaching process, through the use of a mixed-methods sequential explanatory design. The quantitative part of the study was composed of a one-group pre-test–post-test design, while the qualitative part involved a case study design. The sample group consisted of 20 students studying in the 8th grade of a secondary school in the 2020/21 academic year. At the end of the procedure, interviews were held with four students. The relevant data analysis indicated that the students’ level of readiness regarding the divisibility rules was not at a sufficient level, and that the difference between the pre-test and post-test scores was statistically significant with a high positive effect size on the students’ academic achievement. The results based on student views revealed that the rules forgotten due to memorization turned out to become permanent with the use of the IBL activities for learning the divisibility rules, that the students understood the subject matter better, that they came up with the divisibility rules themselves during the implementation of the activities, and that they enjoyed such a learning process.
Piezoelectric properties of PVDF and green synthesized metal oxide nanocomposite thin films
Authors: Kumar Dinesh , Kumar Pawan , Borah Neelakshi Niti Kachari , Siddhartha  , Singh Manveer , Singh Udaibir 
Published: January 2025

Abstract
In this investigation, novel PVDF-metal oxide (MO) nanocomposite-based systems were meticulously developed and thoroughly characterised. Employing an eco-friendly green synthesis process, a polymer-metal oxide nanocomposite system was successfully constructed using two distinct nanoparticles. The integration of nanocomposite systems was accomplished using the versatile sol–gel technology, and an innovative spin coating method was utilised to create the nanocomposite thin films without requiring an electrical field or a post-processing poling step. The characterisation encompassing morphology, structural, electrical, and piezoelectric performance was conducted. Notably, all PVDF/MO nanocomposite thin films surpassed the individual PVDF thin film in piezoelectric performance, demonstrating their exceptional potential. Among them, the PVDF nanocomposite doped with ZnO and TiO2 exhibited the most promising and superior piezoelectric performance. The outstanding piezoelectric capabilities displayed by The PVDF/MO nanocomposite systems offer remarkable potential for their utilization as an innovative energy source in nanogenerators, making them an enthralling option for future applications.
A reliability, availability and maintainability (RAM) model for electromechanical components in hydropower plants
Authors: Singh Pardeep , Singh Sarbjeet , Soltanali Hamzeh , Vardhan Sachit 
Published: January 2025

Abstract
Hydropower generation is world best source of renewable energy and is continuously playing a tremendous job in energy requirement. To cope up with day by day increasing demand in electric energy, it is very essential to keep the hydropower plants in sustainable operational condition. To achieve this, the maintenance strategies based on Reliability, Availability and Maintainability (RAM) analysis play a pivotal role in sustainability of the hydropower plants. In our case study various critical components of hydropower plant were identified such as turbine, governor and generator. The causes and effects of various failures in the critical components were identified using Failure Mode Effect Analysis (FMEA) and Fault tree Analysis (FTA). The main role in the study is presenting a RAM model which helps in evaluating different levels of performance in Hydropower plant. Finally, the RAM parameters were evaluated and their outcomes were suggested to find the convenient maintenance intervals. The results of the proposed model revealed that the critical flaws of the hydrogenation process such as turbines, governors and generator should to be taken on priority basis to achieve the high level of reliability and safety. The results of present framework is to achieve the high level of reliability, hence, the main flaws of the hydrogenation process such as turbines, governors and generator should to be taken on priority basis. The proposed study could be valuable for improving the availability and safety of the critical equipment in hydropower plant. As a consequence, the results of present study could be beneficial for other hydro generating facilities to achieve the sustainable maintenance and operation programs in electricity generation systems.
Operators of Hilbert and Cesàro type acting on Dirichlet spaces
Authors: Galanopoulos Petros , Girela Daniel 
Published: January 2025

Abstract
If

$$\alpha >-1$$

α
>
-
1

the space of Dirichlet type

$$\mathcal {D}^2_\alpha $$

D

α
2

consists of those functions f which are analytic in the unit disc

$$\mathbb {D}$$

D

such that

$$f^\prime $$

f
′

belongs to the weighted Bergman space

$$A^2_\alpha $$

A
α
2

. The space

$$D^2_0$$

D
0
2

is the classical Dirichlet space

$$\mathcal {D}$$

D

. If g is an analytic function in

$${\mathbb D}$$

D

, we study the generalized Hilbert operator

$$\mathcal {H}_{g}$$

H
g

defined by

$$\begin{aligned} \mathcal {H}_g(f)(z)=\int _0^1f(t)g'(tz)\,dt \end{aligned}$$

H
g

(
f
)

(
z
)

=

∫
0
1

f

(
t
)

g
′

(
t
z
)

d
t

acting on the spaces

$$\mathcal {D}^2_\alpha $$

D

α
2

(

$$0\le \alpha \le 1$$

0
≤
α
≤
1

). We obtain a characterization of those g for which

$$\mathcal {H}_g$$

H
g

is bounded, compact, or Hilbert-Schmidt on the Dirichlet space

$$\mathcal {D}$$

D

. In addition to this, we use our results concerning the operators

$$\mathcal {H}_g$$

H
g

to study certain Cesàro-type operators

$$\mathcal {C}_{(\eta )}$$

C

(
η
)

acting on the spaces

$$\mathcal {D}^2_\alpha $$

D

α
2

(

$$0\le \alpha \le 1$$

0
≤
α
≤
1

). We give also a characterization of the positive finite Borel measures

$$\mu $$

μ

in [0, 1) for which a certain Cesàro type operator

$$\mathcal {C}_\mu $$

C
μ

associated to

$$\mu $$

μ

is bounded on the Bergman space

$$A^1_\alpha $$

A
α
1

(

$$\alpha >-1$$

α
>
-
1

). This is an extension of the previously known results for the spaces

$$A^p_\alpha $$

A
α
p

with

$$p>1$$

p
>
1

and

$$\alpha >-1$$

α
>
-
1

.
Effects of different types of Tai Chi intervention on motor function in older adults: a systematic review
Authors: Fan Xu , Soh Kim Geok , Mun Chan Yoke , Soh Kim Lam 
Published: January 2025

Abstract

Background
Tai Chi (TC) is widely acknowledged for its positive impact on improving motor function in older adults. Nevertheless, limited research has directly compared the effects of different TC styles on older adults with functional impairments.

Objective
This study aimed to assess the impact of different TC styles on motor function in older adults with functional impairments.

Method
We searched five databases—PubMed, Scopus, Chinese National Knowledge Infrastructure (CNKI), Web of Science, and Wiley Online Library—including studies published up to September 2024. The selection of literature adhered to PRISMA guidelines, with quality assessment independently carried out by two researchers.

Results
Fourteen studies met the inclusion criteria for this review. The analysis revealed that TC interventions for functionally impaired older adults primarily employed Yang-style, Sun-style, Chen-style, and simplified-style TC. The populations studied included individuals with mild cognitive impairment (MCI), nonspecific low back pain (NS-LBP), preclinical disabilities, chronic diseases, poor balance, osteoarthritis (OA), Parkinson’s disease (PD), sarcopenia, and those at risk of falls. The findings indicated that motor function in functionally impaired older adults were closely linked to balance, gait, mobility, strength, and fall rates. Among the various TC styles, Yang-style was the most frequently utilised intervention.

Conclusion
This review examined four types of TC interventions and found strong evidence supporting the effectiveness of Yang-style TC in improving motor function in older adults with functional impairments. Additionally, five assessment methods—Single-Leg Stance (SL), Six-Minute Walk Test (6MWT), Timed Up and Go Test (TUGT), Chair Stand Test (CST), and Fall Efficacy Scale (FES)—were identified as suitable for evaluating this population. Based on the findings, it is recommended that individuals with functional impairments engage in Yang-style 24-movement TC, with an intervention duration of 12 weeks, practicing two to five times a week for 60 min each session.
Social Networks, Health Support, and Dietary Intake in Mothers Receiving Home Visiting Services
Authors: Miller Sydney , Salvy Sarah-Jeanne , Caceres Nenette , Pickering Trevor , Bruine de Bruin Wandi , Valente Tom W. , Wilson John P. , de la Haye Kayla 
Published: January 2025

Abstract
Home visiting programs (HVPs) provide services to pregnant individuals and parents of young children to improve families’ health and well-being. However, little is known about these families’ social contexts. This study explores the social networks and dietary intake of mothers enrolled in a HVP, focusing on health support and health undermining. Cross-sectional data from 76 mothers enrolled in a HVP in Los Angeles County were collected by interview, using validated measures. Almost all mothers (95.7%) had one or more health supporters, while 55.1% had one or more health underminers. Some key findings related to health support were that mothers with higher income had more health supporters in their network (b = 1.36, p = 0.03), and network members were more likely to be health supporters if they were a romantic partner (OR = 3.41, p < 0.001), a resource-based connection (OR = 3.46, p < 0.01), or if they lived in the same neighborhood as the mother (OR = 1.68, p < 0.05). Further, having a health supporter who lived in the same neighborhood was associated with consuming more (1 + daily servings) vegetables (OR = 3.0, p < 0.05) and no sugar-sweetened beverages (OR = 0.29, p < 0.05). There were fewer findings related to health undermining: network members more likely to be underminers were romantic partners (OR = 8.93, p < .0001), and those perceived as having overweight or obesity (OR = 3.98, p < 0.001), but health undermining did not predict dietary intake. Overall, a broad set of network features were linked with health support, and given that some types of support were linked with better diet, network-based diet interventions leveraging health support may be effective in this priority population.
The paradoxical GH response at OGTT does not predict Pasireotide efficacy but matters for glucose metabolism
Authors: Occhi G. , Voltan G. , Chiloiro S. , Bianchi A. , Maffei P. , Dassie F. , Mantovani G. , Del Sindaco G. , Ferone D. , Gatto F. , Losa M. , Cannavò S. , Scaroni C. , Ceccato F. ,   On behalf of the Pituitary Club of the Italian Society of Endocrinology
Published: January 2025

Abstract

Purpose
A paradoxical increase in GH after oral glucose load (GH-Par) characterizes about one-third of acromegaly patients and is associated with a better response to first-generation somatostatin receptor ligands (fg-SRLs). Pasireotide is typically considered as a second-/third-line treatment. Here, we investigated the predictive role of GH-Par in pasireotide response and adverse event development.

Methods
we collected a multicenter Italian retrospective cohort of 59 patients treated with pasireotide for at least 3 months, all having GH profile from OGTT. IGF-1 normalization or at least 30% reduction at the last follow-up visit defined a responder patient.

Results
Considering the entire cohort, median IGF-1 levels before pasireotide (available in 57 patients) were 1.38 times the upper limit of normal (ULN) in patients with large (median size 18 mm) and invasive (82%) adenomas after failure of fg-SRL treatment. After a 40-month median treatment, pasireotide effectively reduced IGF-1 ULN levels in 41 patients, 37 of whom achieving normalization, and 4 with a ≥ 30% reduction. Thirteen patients were classified as GH-Par. The median pasireotide duration, dosage, and efficacy (9/12 responder in the GH-Par group and 32/45 in the GH-NPar) were similar between groups. However, the occurrence of new-onset or worsening glucose metabolism alterations (GMAs) after pasireotide was more frequent in GH-NPar (from 37 to 80%; p < 0.001) compared to GH-Par patients (from 69 to 76%), likely due to the higher prevalence of pre-existing GMAs in the GH-Par group before starting pasireotide (p = 0.038).

Conclusions
The GH-Par does not predict the response to pasireotide in acromegaly but can predict a worse metabolic profile.
Chemical pure reaction automata in maximally parallel manner
Authors: Ascone Rocco , Bernardini Giulia , Leiter Francesco , Manzoni Luca 
Published: January 2025

Abstract
This work presents a new class of reaction automata, called Chemical Pure Reaction Automata (CPRA). CPRA combines characteristics of chemical reaction automata, as introduced by Okubo et al. in 2016, with those of the more recently defined pure reaction automata. Unlike standard chemical reaction automata, CPRA lack permanence, meaning their result states consist solely of the reaction products, with unconsumed reactants being discarded. We investigate the computational power of two CPRA variants, both working in a maximally parallel manner. We first prove that deterministic CPRA (DCPRA)—in which at every state, for each input symbol, the resulting state is the same for all multisets of enabled reactions—are not Turing complete. We then show that non-deterministic CPRA are Turing complete and thus strictly more powerful than DCPRA: namely, the set of languages accepted by CPRA in the maximally parallel manner contains the set of languages accepted by standard chemical reaction automata in the same manner.