bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving HIV testing, linkage, and retention in care among South African men through U = U messaging: A study protocol for two sequential hybrid type 1 effectiveness-implementation randomized controlled trials
Authors: Medina-Marino Andrew , Sibanda Nkosiyapha , Putt Mary , Joseph Davey Dvora , Smith Phillip , Thirumurthy Harsha , Bekker Linda-Gail , Buttenheim Alison 
Published: November 2024

Background
Increasing HIV testing and treatment coverage among people living with HIV (PLHIV) is essential for achieving global HIV epidemic control. However, compared to women, cis-gender heterosexual men living with HIV are significantly less likely to know their HIV status, initiate anti-retroviral therapy (ART) and achieve viral suppression. This is particularly true in South Africa, where men are also at increased risk of mortality resulting from AIDS-related illnesses. While there is growing knowledge of Treatment as Prevention or the concept Undetectable = Untransmittable (U = U) among PLHIV in Western and high-income countries, the reach and penetration of the U = U message in sub-Saharan Africa remains limited, and few studies have evaluated the impact of accessible and relatable U = U messages on ART initiation and adherence. To address these gaps, rigorous evaluations of interventions that incorporate U = U messages are needed, especially among men in high prevalence settings.

Methods
Building on our U = U messages that we previously developed for men using behavioral economics insights and a human-centered design, we will conduct two sequential hybrid type 1 effectiveness-implementation trials to evaluate the impact of U = U messages on men’s uptake of community-based HIV testing and ART initiation (Trial 1), and retention in care and achievement of viral suppression (Trial 2). For trial 1, a cluster randomized trial will be implemented with HIV testing service site-days (each day at one testing site) randomized to U = U or standard-of-care (SoC) messages inviting men to test for HIV. For trial 2, an individual-level randomized control trial will be implemented, with men initiating ART at six government clinics randomized to receive U = U counselling or SoC treatment adherence messaging. We will incorporate a multi-method evaluation to inform future implementation of U = U messaging interventions. The study will be conducted in the Buffalo City Metro Health District of the Eastern Cape Province and in the Cape Town Metro Health District in the Western Cape Province in South Africa.

Discussion
These trials are the first to rigorously evaluate the impact of U = U messaging on HIV testing uptake, ART initiation and achievement of viral suppression among African men. If effective, these messaging interventions can shape global HIV testing, treatment and adherence counselling guidelines and practices.
Comparison of haemoglobin concentration measurements using HemoCue-301 and Sysmex XN-Series 1500: A survey among anaemic Gambian infants aged 6–12 months
Authors: Bah Mamadou , Verhoef Hans , Camara Abdou , Ngom Morris Nden , Jallow Demba , Bajo Kebba , Bah Foday , Pleij Maarten , Klappe Maaike , Saidykhan Alasana , Okoh Emmanuel , Bah Abdoulie , Cerami Carla 
Published: November 2024

Background
In low-income countries, point-of-care photometers are used in the screening and management of anaemia in individuals, but also in the assessment of population iron status when evaluating efficacy of intervention studies or public health interventions.

Aims
We aimed to evaluate the accuracy of a commonly used photometer, HemoCue-301, in determining haemoglobin concentration among anaemic children aged 6–12 months in a field setting in rural Africa.

Methods
This report concerns a secondary analysis of data from Gambian infants being screened for an ongoing randomized controlled trial. In those found to be anaemic by HemoCue-301, haemoglobin concentration was measured by Sysmex XN-1500, an automated haematology analyser that was used as a reference. Passing-Bablok regression analysis was used to estimate the regression constant (systematic deviation between two measurement methods that remain consistent across the range of measurements) and proportional bias (systematic deviation between two measurement methods that change in magnitude relative to the value being measured).

Results
Analysis was based on 227 participants. There was strong evidence of absolute bias among moderately anaemic participants (haemoglobin concentration at 8.0g/dL) (absolute bias: 1.12g/dL; 95% CI: 0.91 to 1.37g/dL; proportional bias: 14.0%; 95% CI: 11.4% to 17.1%) in haemoglobin concentrations measured by HemoCue-301 compared to those measured by Sysmex XN-Series1500. Bias was marginal at haemoglobin concentration of 11.0g/dL (absolute bias: -0.08g/dL; 95% CI: -0.18 to 0.07g/dL; proportional bias: -7.3%; 95% CI: -6.5% to 0.6%).

Conclusion
Haemoglobin measurements by HemoCue-301 seem substantially biased in participants with haemoglobin less than 8.0g/dL.
Association between long COVID and nonsteroidal anti-inflammatory drug use by patients with acute-phase COVID-19: A nationwide Korea National Health Insurance Service cohort study
Authors: Lee Ye-Seul , Kim Heejun , Kwon Sunoh , Kim Tae-Hun 
Published: November 2024

Introduction
Long coronavirus disease (COVID) poses a significant burden following the coronavirus disease 2019 (COVID-19) pandemic. Debate persists regarding the impact of nonsteroidal anti-inflammatory drug (NSAID) administration during acute-phase COVID-19 on the development of long COVID. Hence, this study aimed to assess the potential association between NSAID use and long COVID using data from patients with COVID-19 in Korea’s National Health Insurance Service.

Methods
This nested case-control study defined the study cohort as patients diagnosed with COVID-19 for the first time between 2020 and 2021. The primary exposure investigated was NSAID prescriptions within 14 days of the initial COVID-19 diagnosis. We used propensity score matching to create three control patients matched to each patient in the NSAID exposure group. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated after the adjustment for demographics, Charlson Comorbidity Index, and existing comorbidities.

Results
Among the 225,458 patients diagnosed with COVID-19, we analyzed data from 254 with long COVID. The adjusted OR (aOR) for NSAID exposure during acute-phase COVID-19 was higher in long COVID cases versus controls (aOR, 1.79; 95% CI, 1.00–3.19), suggesting a potential relationship. However, a sensitivity analysis revealed that the increased odds of NSAID exposure in the acute phase became statistically non-significant (aOR, 1.64; 95% CI, 0.90–2.99) when COVID-19 self-quarantine duration was included as a covariate. Additionally, acetaminophen exposure was not significantly associated (aOR, 1.12; 95% CI, 0.75–1.68), while antiviral drugs demonstrated a stronger association (aOR, 3.75; 95% CI, 1.66–8.48).

Conclusion
Although this study suggests a possible link between NSAID use in the acute COVID-19 infection stage and a higher risk of long COVID as well as both NSAID and acetaminophen use during the chronic COVID-19 period and a lower risk of long COVID, the association was not statistically significant. Further research is needed to determine the causal relationship between the various treatment options for acute COVID-19 and the development of long COVID.
Fatigue and cognitive dysfunction in previously hospitalized patients with COVID-19: A 1-year follow-up
Authors: Andreasson Ingrid , Persson Hanna C. , Björkdahl Ann 
Published: November 2024

Purpose
The aim was to longitudinally explore changes in fatigue- and cognition-related symptoms during the first year after hospital treatment for COVID-19.

Method
Patients hospitalized for COVID-19 in Gothenburg, Sweden, were consecutively included from 01-07-2020 to 28-02-2021. Patients were assessed at the hospital (acute) and at 3 and 12 months after hospital discharge. Cognition was assessed with the Montreal Cognitive Assessment (MoCA), the Trail Making Test B (TMTB), and the Cognitive Failure Questionnaire (CFQ). Fatigue was assessed using the Multidimensional Fatigue Inventory-20 (MFI-20) and the Mental Fatigue Scale (MFS). Data was analyzed with demographics and changes over time calculated with univariable mixed-effects models.

Result
In total, 122 participants were included. Analyzes of Z-scores for MoCA indicated improvement over the year, however the results were 1 SD below norm at all assessments. Alertness (TMTB scores) improved significantly from the acute assessment to the 12- month follow-up (p = <0.001, 95% CI 34.67–69.67). CFQ scores indicated cognitive impairment, and the sum scores for MFI reflected a relatively high degree of fatigue at follow-up.

Conclusion
In the first year after hospitalization for COVID-19, most patients experienced fatigue and cognitive impairment. Alertness improved, but improvements in other domains were limited.
Non-pharmaceutical interventions for people living with HIV with cognitive impairment: A scoping review
Authors: Stuart Lucinda , Alford Kate , Vera Jamie H. 
Published: November 2024

Background
Cognitive impairment (CI) in HIV is often of multifactorial causation, and remains a prominent issue in the age of effective combination antiretroviral therapy (cART), affecting approximately 14% of people living with HIV. Despite the 2018 BHIVA directive stating the importance of commencing rehabilitation strategies in people living with HIV with CI, no types of cognitive rehabilitations or other non-pharmaceutical interventions are specifically recommended. This scoping review aimed to describe the types of and evidence relating to the non-pharmaceutical interventions which have been examined in people living with HIV with CI.

Methods
Studies were identified from five electronic databases. Criteria for study inclusion were studies describing a non-pharmaceutical intervention published after 1st January 2000 in English, in a population of adults living with HIV with CI detected at baseline, without significant psychiatric or substance-misuse co-morbidity.

Results
Fourteen studies met the criteria for inclusion, with the Frascati criteria most commonly used to define CI within participant populations. The median intervention length was 12 weeks (IQR = 6.5). Nine studies investigated interventions with some component of computerised cognitive training (CCT); other interventions included diet, exercise and goal management training. Studies most commonly examined neurocognitive outcomes, but also considered other outcomes including quality of life, depressive symptomatology, intervention acceptability and cART adherence. Eight studies observed improvement in cognition with CCT, with effects often maintained for several weeks post-intervention, however, results were not always statistically significant. Self-reported cognitive improvement and intervention acceptability was high amongst participants completing CCT.

Conclusions
There was heterogeneity across studies not only in intervention type, but in diagnostic tools used, the chosen outcome measures and cognitive batteries, making comparison difficult. Findings, however, indicate that CCT interventions may produce benefits in cognition and are acceptable to patients. Further research is required in larger samples, alongside identifying specific intervention components that improve outcomes.
One-side Liouville theorems under an exponential growth condition for Kolmogorov operators
Authors: Priola Enrico 
Published: November 2024

Abstract
It is known that for a possibly degenerate hypoelliptic Ornstein-Uhlenbeck (OU) operator

L
=

1

2

tr

(

Q

D

2

)

+

⟨

A
x
,
D

⟩

=

1

2

div

(

Q
D

)

+

⟨

A
x
,
D

⟩

,

x
∈

R

N

,

L=\frac{1}{2}\hspace{0.1em}\text{tr}\hspace{0.1em}\left(Q{D}^{2})+\langle Ax,D\rangle =\frac{1}{2}\hspace{0.1em}\text{div}\hspace{0.1em}\left(QD)+\langle Ax,D\rangle ,\hspace{0.33em}\hspace{0.33em}x\in {{\mathbb{R}}}^{N},

all (globally) bounded solutions of

L
u
=
0

Lu=0

on

R

N

{{\mathbb{R}}}^{N}

are constant if and only if all the eigenvalues of

A

A

have non-positive real parts (i.e.,

s

(

A

)

≤
0

s\left(A)\le 0

). We show that if

Q

Q

is positive definite and

s

(

A

)

≤
0

s\left(A)\le 0

, then any non-negative solution

v

v

of

L
v
=
0

Lv=0

on

R

N

{{\mathbb{R}}}^{N}

, which has at most an exponential growth, is indeed constant. Thus, under a non-degeneracy condition, we relax the boundedness assumption on the harmonic functions and maintain the sharp condition on the eigenvalues of

A

A

. We also prove a related one-side Liouville theorem in the case of hypoelliptic OU operators.
Guidelines for the correct use of the nomenclature of biochemical indices of bone status: a position statement of the Joint IOF Working Group and IFCC Committee on Bone Metabolism
Authors: Lombardi Giovanni , Jørgensen Niklas Rye , Harvey Nicholas C. , McCloskey Eugene V. , Åkesson Kristina E. , Eastell Richard , Garnero Patrick , Kanis John A. , Khashayar Patricia , Lane Nancy E. , McClung Michael R. , Silverman Stuart , Makris Konstantinos , Bhattoa Harjit Pal , Vasikaran Samuel D. , Pikner Richard , Cavalier Etienne 
Published: November 2024

Abstract
The presented guidelines are an update of the position paper, endorsed by the International Osteoporosis Foundation (IOF), on nomenclature of bone markers published over 2 decades ago. Novel insight into bone biology and pathophysiology of bone disorders has highlighted the increasing relevance of new and known mediators implicated in various aspects of bone metabolism. This updated guideline proposes the nomenclature Bone Status Indices (BSI) as the comprehensive classification rather than bone turnover markers, bone markers, metabolic markers of bone turnover or metabolic markers of bone turnover, that are currently in use for the implicated molecules. On behalf of the IFCC Committee on Bone Metabolism and the Joint IOF Working Group and IFCC Committee on Bone Metabolism, the authors propose standardized nomenclature, abbreviations and measurement units for the bone status indices.
Paediatric reference intervals for haematology parameters analysed on Sysmex XN-9000: a comparison of methods in the framework of indirect sampling
Authors: Laugesen Kristina , Winther-Larsen Anne 
Published: November 2024

Abstract

Objectives
To provide age- and sex-specific paediatric reference intervals (RIs) for 13 haematological parameters analysed on Sysmex XN-9000 and compare different methods for estimating RIs after indirect sampling.

Methods
Via the Danish Laboratory Information System, we conducted a population-based study. We identified samples from children aged 0–18 years analysed at Aarhus University Hospital from 2019 to 2023, including samples from general practitioners only. Information about all parameters were available for all samples via linkage to the local laboratory middleware. Then, we applied two different methods. First, we excluded potential pathological samples by predefined criteria: if the child had other abnormal blood measurements at date of request, or had a blood sample of any type analysed in the period two months before to two months after. We estimated RIs stratified by age- and sex using the non-parametric percentile method. Second, we used refineR (an open source automated algorithm) to exclude pathological samples and for RI estimation. Finally, we compared our data to results from a study using the direct method.

Results
We identified 22,786 samples. After exclusion by predefined criteria, the population comprised 10,199 samples from 8,736 children (57 % of samples were from females and median age was 13 years). We estimated RIs for red blood cell, white blood cell and platelet indices. The two different methods showed agreement. Furthermore, our data provided results comparable to direct sampling.

Conclusions
Our study provided age- and sex-specific paediatric RIs for 13 haematology parameters useful for laboratories worldwide. RIs were robust using different methods in the framework of indirect sampling. Finally, our data showed agreement with the direct method, indicating that indirect sampling could be useful for establishing RIs on haematology parameters in the future.
The Semiotics of Latency: Deciphering the Invisible Patterns of the New Digital World
Authors: Leone Massimo 
Published: November 2024

Abstract
This paper explores the “semiotics of latency,” examining how the discipline of signs can provide insights into the increasingly invisible dimensions of contemporary communication, especially with the rise of digital technologies and artificial intelligence. The study proposes that semiotics has become more relevant today as it can reveal the latent aspects of communication, which have expanded significantly with technological advancements. The discussion spans various themes including invisibility, subtlety, infrastructure, transcendence, magic, sentience, immateriality, and minority, offering a nuanced understanding of how latent spaces – particularly in AI – shape meaning in modern contexts. By tracing historical perspectives from figures like Girolamo Cardano and Robert Hooke to contemporary phenomena like AI-generated content and its societal impacts, the paper argues for a “subtle reading” approach in semiotics. This approach bridges close reading and distant reading methods to decode the complex, often invisible infrastructures that underlie digital communication. The exploration of these hidden spaces suggests new horizons for understanding both the potential and the ethical implications of AI and digital technologies, positioning semiotics as a critical tool for navigating the unseen forces that increasingly influence our lives.
Enhancing interprofessional collaboration in digital health: Evaluation of a joint teaching program for computer science and health sciences students
Authors: Wöhlke Sabine , Schaper Manuel , Richter Moira , Lins Christian 
Published: November 2024

Abstract
In the digital age of health, health professionals face the major challenge of adapting to rapidly evolving digital technologies. Interprofessional collaboration (IPC) and communication are essential skills to use the potential of a digital health system and project work in Creative Labs, especially regarding high-risk projects that bring together professionals from different backgrounds for the common goal of developing innovative concepts and products. So far, too little interprofessional competence acquisition is offered at universities. In this article, we present a joint teaching program in which students of computer science and health sciences design and develop digital health projects in joint project work. The teaching program consists of different phases, including thematic basics, accompanying identification of ideas for the project work, working sessions, and final presentation of the digital health projects. We also present the teaching concept, as well as the piloting of the program and the results of its evaluation. The results point to the high potential that can unfold in IPC teaching and how important it is for future healthcare professionals to be adaptable to new technologies and IPC. Practical recommendations include considerations for joint teaching, module structure, and a brief discussion of challenges on an organizational level.
Ion channel classification through machine learning and protein language model embeddings
Authors: Ghazikhani Hamed , Butler Gregory 
Published: November 2024

Abstract
Ion channels are critical membrane proteins that regulate ion flux across cellular membranes, influencing numerous biological functions. The resource-intensive nature of traditional wet lab experiments for ion channel identification has led to an increasing emphasis on computational techniques. This study extends our previous work on protein language models for ion channel prediction, significantly advancing the methodology and performance. We employ a comprehensive array of machine learning algorithms, including k-Nearest Neighbors, Random Forest, Support Vector Machines, and Feed-Forward Neural Networks, alongside a novel Convolutional Neural Network (CNN) approach. These methods leverage fine-tuned embeddings from ProtBERT, ProtBERT-BFD, and MembraneBERT to differentiate ion channels from non-ion channels. Our empirical findings demonstrate that TooT-BERT-CNN-C, which combines features from ProtBERT-BFD and a CNN, substantially surpasses existing benchmarks. On our original dataset, it achieves a Matthews Correlation Coefficient (MCC) of 0.8584 and an accuracy of 98.35 %. More impressively, on a newly curated, larger dataset (DS-Cv2), it attains an MCC of 0.9492 and an ROC AUC of 0.9968 on the independent test set. These results not only highlight the power of integrating protein language models with deep learning for ion channel classification but also underscore the importance of using up-to-date, comprehensive datasets in bioinformatics tasks. Our approach represents a significant advancement in computational methods for ion channel identification, with potential implications for accelerating research in ion channel biology and aiding drug discovery efforts.
Crystal structure of diaqua-tetra((E)-(RS)-1-(2,4-dichlorophenyl)-4,4-dimethyl-2-(1,2,4-triazol-1-yl)pent-1-en-3-ol-κ
1
N)zinc(II) dinitrate dihydrate, C60H76Cl8N14O14Zn
Authors: Li Jie , Qiu Mengying , Han Haiwei , Yan Biao , Li Hongya 
Published: November 2024

Abstract
C60H76Cl8N14O14Zn, triclinic,

P

1
‾

$P\overline{1}$

(no. 2), a = 7.758(1) Å, b = 15.376(2) Å, c = 16.518(2) Å, α = 100.946(2)°, β = 97.977(2)°, γ = 99.581(2)°, V = 1877.8(4) Å3, Z = 1, R
gt(F) = 0.0456, wR
ref(F
2) = 0.1368, T = 296(2) K.
“How come I don’t look like that”: the negative impact of wishful identification with influencers on follower Well-being
Authors: Zhang Ruonan , Mercado Trinidee , Chen Yu , Bi Nicky Chang 
Published: November 2024

Abstract

Purpose
Building on Social Comparison Theory and Parasocial Relationship Theory, this study is designed to investigate how followers’ wishful identification with YouTube influencers is associated with their psychological well-being and how parasocial relationships with influencers moderate this association.

Design/methodology/approach
Influencer-fan data (N = 504) is collected through a Qualtrics survey in collaboration with a real-life influencer on YouTube. Hayes Process Modeling was used to conduct mediation and moderation analyses.

Findings
Results indicate that enjoyment of influencers’ videos positively leads to followers’ wishful identification, which negatively impacts their well-being. The parasocial relationship with the influencer was found to be a significant moderator on the negative relationship between wishful identification and follower well-being in the models with vlog-oriented videos and skincare videos as independent variables.

Practical implications
This study provides guidance for influencers regarding the behaviors to lower the negative psychological impact of their videos on viewers. While influencer content creation is a thriving business, the association between influencer-following and viewer’ mental health issues should not be overlooked.

Social implications
From the viewers’ perspectives, awareness of social media comparison with influencers and the filtered effects of social media communication are also discussed.

Originality/value
As influencers continue to gain prominence on social media, their influence on followers extends beyond providing information, entertainment, companionship, and product endorsements. This study examines the negative effects of influencer content on viewers’ psychological well-being, particularly through mechanisms of social comparison and parasocial relationships.