bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Picasso’s skepticism on computer science and the dawn of generative AI: questions after the answers to keep “machines-in-the-loop”
Authors: Pesapane Filippo , Cuocolo Renato , Sardanelli Francesco 
Published: July 2024

AbstractStarting from Picasso’s quote (“Computers are useless. They can only give you answers”), we discuss the introduction of generative artificial intelligence (AI), including generative adversarial networks (GANs) and transformer-based architectures such as large language models (LLMs) in radiology, where their potential in reporting, image synthesis, and analysis is notable. However, the need for improvements, evaluations, and regulations prior to clinical use is also clear. Integration of LLMs into clinical workflow needs cautiousness, to avoid or at least mitigate risks associated with false diagnostic suggestions. We highlight challenges in synthetic image generation, inherent biases in AI models, and privacy concerns, stressing the importance of diverse training datasets and robust data privacy measures. We examine the regulatory landscape, including the 2023 Executive Order on AI in the United States and the 2024 AI Act in the European Union, which set standards for AI applications in healthcare. This manuscript contributes to the field by emphasizing the necessity of maintaining the human element in medical procedures while leveraging generative AI, advocating for a “machines-in-the-loop” approach.
Anisotropy component of DTI reveals long-term neuroinflammation following repetitive mild traumatic brain injury in rats
Authors: Cheng Ching , Lu Chia-Feng , Hsieh Bao-Yu , Huang Shu-Hui , Kao Yu-Chieh Jill 
Published: July 2024

Abstract
Background
This study aimed to investigate the long-term effects of repetitive mild traumatic brain injury (rmTBI) with varying inter-injury intervals by measuring diffusion tensor metrics, including mean diffusivity (MD), fractional anisotropy (FA), and diffusion magnitude (L) and pure anisotropy (q).

Methods
Eighteen rats were randomly divided into three groups: short-interval rmTBI (n = 6), long-interval rmTBI (n = 6), and sham controls (n = 6). MD, FA, L, and q values were analyzed from longitudinal diffusion tensor imaging at days 50 and 90 after rmTBI. Immunohistochemical staining against neurons, astrocytes, microglia, and myelin was performed. Analysis of variance, Pearson correlation coefficient, and simple linear regression model were used.

Results
At day 50 post-rmTBI, lower cortical FA and q values were shown in the short-interval group (p ≤ 0.038). In contrast, higher FA and q values were shown for the long-interval group (p ≤ 0.039) in the corpus callosum. In the ipsilesional external capsule and internal capsule, no significant changes were found in FA, while lower L and q values were shown in the short-interval group (p ≤ 0.028) at day 90. The q values in the external capsule and internal capsule were negatively correlated with the number of microglial cells and the total number of astroglial cells (p ≤ 0.035).

Conclusion
Tensor scalar measurements, such as L and q values, are sensitive to exacerbated chronic injury induced by rmTBI with shorter inter-injury intervals and reflect long-term astrogliosis induced by the cumulative injury.

Relevance statement
Tensor scalar measurements, including L and q values, are potential DTI metrics for detecting long-term and subtle injury following rmTBI; in particular, q values may be used for quantifying remote white matter (WM) changes following rmTBI.

Key Points

The alteration of L and q values was demonstrated after chronic repetitive mild traumatic brain injury.

Changing q values were observed in the impact site and remote WM.

The lower q values in the remote WM were associated with astrogliosis.

Graphical Abstract
Fire severity and prolonged drought do not interact to reduce plant regeneration capacity but alter community composition in a Mediterranean shrubland
Authors: Salesa David , Baeza M. Jaime , Santana Victor M. 
Published: July 2024

Abstract
Background
Disturbance-regime shifts are often a manifestation related to climate change. In Mediterranean ecosystems, summer-drought lengthening and high fire-severity may be among the most detrimental processes for plant recovery capacity. However, although isolated effects have been usually assessed, the effects when both disturbances interact are less known. This paper examined the possible interactive impacts of increased fire severity and summer-drought lengthening on Mediterranean vegetation recovery. Our initial hypothesis maintained that both disturbances would interact and cause greater recovery damage than in an isolated way. For this reason, we performed an experimental fire in summer by creating two fire severity levels: control fire severity (CSev) and increased fire severity by adding dry biomass (IncrSev). Following fire, and using rainfall exclusions roofs, we extended summer drought conditions toward the first autumn after fire (AutExcl treatment) and toward the first post-fire spring (SprExcl). All the treatment-levels combinations were replicated in five 0.5 × 0.5 m plots.

Results
Emerged seedlings were not affected by treatments, but plant establishment was significantly impaired by extended droughts at the end of the first post-fire year, particularly for Cistaceae and subshrubs. Nevertheless, we found no effects of increased fire severity on either isolation or combination with drought. Notwithstanding, the combination of some treatment levels brought about changes in plant composition. These changes were driven mainly by the detrimental effects of treatments on perennial forbs. This functional group was affected by treatments, which suggests that they may be more sensitive to changes in fire severity and severe droughts.

Conclusion
Increased fire severity might not affect plant recovery either by itself or by interacting with drought because prolonged drought may mask increased fire severity impact on Mediterranean seeding species. However, fire-severity increases, together with sporadic drought events in the early stages of these communities, could imply long-lasting changes in community composition due to distinct functional-groups sensitivities. Nevertheless, these impacts depend on the considered species or functional group. These findings provide information about the impacts that Mediterranean-shrublands ecosystems might face if the trends of fire and drought regimes continue shifting.
Taking the next step in wildfire education: integrating multiple knowledge forms into co-produced high school fire science curricula
Authors: Restaino Christina , Eusden Spencer , Kay Megan 
Published: July 2024

AbstractThe wildfire issue in the western United States presents a complex challenge that impacts both society and the environment. Implementing K-12 education programs focused on wildfire can play a significant role in addressing this issue. By integrating wildfire education into school curricula, teachers can equip students with the knowledge and skills needed to understand fire ecology, land management, and wildfire preparedness. Early exposure to wildfire science education can also connect students with viable career paths in fire and ecosystem management. We used our position as Cooperative Extension educators in Nevada’s Living With Fire Program to catalyze fire science knowledge through creating a high school wildfire science curriculum that is focused on fire ecology, wildfire preparedness, and career exposure. We used a transdisciplinary approach to create educational materials that are effective, relevant, and accurately represent wildfire in Nevada. We integrated five different knowledge forms (technical, cultural, management, institutional, and student) to create a robust curriculum that includes many different stakeholder priorities and values, while still meeting the needs of students and teachers. Our initial impacts assessment demonstrates that our curriculum instruction is creating learning advances in fire ecology and wildfire preparedness. We assert that this curriculum and other wildfire education programs in our region can increase our overall capacity for living with fire.
Study of the relationship between genetic variants of IL-18 and the occurrence of inflammatory bowel disease
Authors: Al-ardawy Yahya Jaber , Al-Saadi Ali Hmood , Alkindy Mahmoud A. , Al-Lsawi Ammar M. , Fadheel Maksad A. 
Published: July 2024

Abstract
Background
A member of the Interleukin-1 superfamily of cytokines, interleukin-18 (IL-18) is essential to the etiology and progression of inflammatory bowel disease (IBD), a chronic inflammatory illness that affects the digestive system. This study investigated the possible association between two genetic variations, IL-18 rs187238 and IL-18 rs1946518, and IBD in Iraqi patients.

Methods
We evaluated the association of two SNPs of the IL-18 gene at rs187238 and rs1946518 in 54 IBD patients with 19 Crohn’s disease (CD), 35 ulcerative colitis (UC), and 46 healthy controls using PCR-RFLP and PCR-AS techniques for detecting IL-18 rs187238 and IL-18 rs1946518, respectively, by extracting genomic DNA from blood samples.

Results
Our findings indicated no statistically significant variations between the IL-18 rs187238 genotypes and incidences of CD and UC (P = 0.189 and 0.59, respectively). However, the allele frequency showed a significant difference with CD (P = 0.049) but did not show a significant association with UC (P = 0.887). There was no significant association between the genotype and allele frequency of IL-18 rs1946518C/A and CD risk (P = 0.171 and 0.053, respectively). However, there was a significant association between the genotype and allele frequency of IL-18 rs1946518C/A and the risk of developing UC (P = 0.028 and 0.002, respectively).

Conclusion
The study revealed statistically significant distinctions between the genetic and allelic frequencies of IL-18 rs1946518 and the probability of developing UC. Nonetheless, there were no significant distinctions between them and CD. According to the research, there were no major differences between IL-18 rs187238 and the two diseases. The frequency of the C allele is connected to CD.
The efficacy of luteal phase support in women with polycystic ovary syndrome following assisted reproductive technology: a systematic review
Authors: Harzif Achmad Kemal , Pratamasari Sarah Miriam Ratna , Rumapea Costan Tryono Parulian , Ummah Nafi’atul , Mutia Heidi Dewi , Nurbaeti Putri , Puspawardani Aisyah Retno , Wiweko Budi 
Published: July 2024

Abstract
Background
Polycystic ovary syndrome (PCOS) is a complex endocrine condition prevalent among a significant number of women during their reproductive years. Remarkably, 90–95% of women seeking infertility solutions due to anovulation are diagnosed with PCOS. Luteal phase support (LPS) is a crucial aspect of assisted reproductive technologies (ART). This systematic review aimed to evaluate the effectiveness of LPS in women with PCOS undergoing ART, with a focus on pregnancy rates as the primary endpoint.

Materials and methods
A systematic search was conducted on EMBASE, PubMed, and Scopus databases without language restrictions. We searched for studies up to August 1, 2023. The search strategy used terms related to PCOS and LPS. Clinical trials and cohort studies involving infertile women with PCOS undergoing ART were included. The Risk of Bias 2 (ROB2) and the Newcastle-Ottawa Scale (NOS) tool were used to assess the risk of bias.

Results
The review included five studies comprising a total of 818 patients. The studies used various ovulation induction medications, such as letrozole, clomiphene citrate, and human menopausal gonadotropin, in combination with different forms of progesterone for LPS (oral, intramuscular, and intravaginal). The overall results demonstrated inconsistent efficacy of LPS, with some studies showing significant improvements in pregnancy rates with LPS, while others showed no statistically significant difference.

Conclusion
The systematic review suggests that LPS may improve pregnancy rates in women with PCOS undergoing ART. However, the effectiveness appears to be influenced by the choice of ovulation induction agent and the route of progesterone administration. Personalized treatment approaches considering patient response and emerging evidence are essential.
Rehabilitation program and challenges in managing hospitalized COVID-19 patients: a case series from Egypt
Authors: Abdelftah Hoda M. , Emam Zinab , Kabil Mohamed Solyman , Elsayed Tarek M. , Saleh Sonia S. 
Published: July 2024

Abstract
Background
The COVID-19 pandemic urged all healthcare providers to collaborate to defeat this mortal infection. SARS-CoV-2 almost hits the respiratory system and may have subsequent serious complications like pulmonary embolism and multi-organ damage.

Objective
To illustrate the rehabilitation program challenges encountered by physiotherapists in clinically managing hospitalized COVID-19 patients. The goal was to preclude the need for invasive mechanical ventilation and to improve the patient’s oxygen saturation and general health.

Methods
In this retrospective case-series study, we described the physiotherapy strategies implemented for 14 COVID-19 patients during the hospitalization period at an Egyptian governmental quarantine hospital.

Results
The rehabilitation program was customized by physiotherapists to accommodate the specific circumstances, conditions, and acquired complications of individual patients. Patients were under the care of physiotherapists in both the COVID ward and ICU. Overcoming challenges such as patient reluctance, co-morbidities, and the effects of aging was a task faced by these healthcare professionals. Consequently, the program had to be modified to suit the unique needs of each patient. These tailored programs encompassed techniques such as percussion, positioning, range of motion, circulatory exercises, and respiratory exercises. The patients exhibited positive responses to their designated physical therapy program, experiencing improvements on various levels based on the progression of their individual cases.

Conclusion
Physiotherapy has a major role in improving patient complications after being infected with COVID-19. In this desperate pandemic era, physiotherapists gave hospitalized patients support both psychologically and physically.
A Cognitive Load Theory Perspective of the Undergraduate Anesthesia Curricula in South Africa
Authors: Spijkerman Sandra , Manning Dianne Mary , Green-Thompson Lionel Patrick 
Published: July 2024

BACKGROUND:
Safe anesthesia is indispensable to achieve global safe surgery and equitable health care access. The disease burden and lack of specialists in South Africa (SA) require junior, nonspecialist doctors to be fit-for-purpose from day 1 when they provide anesthetic services in peripheral hospitals with limited supervision. Graduating students report low self-perceived preparedness for administering anesthesia, but it is not known how their curricular experiences influence their learning. Cognitive load theory defines intrinsic, extraneous, and germane cognitive loads (subtypes). Intrinsic load relates to learning tasks, extraneous load to distractions, and germane load to students’ learning processes. This study used a cognitive load theory lens to explore SA students’ experiences of their undergraduate anesthesia training.

METHODS:
In a constructivist cross-sectional descriptive study, we explored the qualitative factors that influenced students’ curricular experience of undergraduate anesthesia training in SA. Two investigators analyzed the data independently in an initial coding round. An emerging theme of lack of time to achieve the expected outcomes, prompted the use of cognitive load theory as a conceptual framework for further analysis by the 3 authors. The subsequent analysis informed the development and refinement of a final cognitive load theory framework for anesthesia training, the COLOAD (COgnitive LOad in Anesthesia eDucation) framework.

RESULTS:
Data were collected between November 2017 and February 2019. The 1336 respondents (79% participation) reported a variety of determinants of learning pertaining to all 3 cognitive load subtypes. Participants were novices in an inherently complex environment and experienced a high cognitive load during anesthesia training. The number-, complexity-, and interactivity of tasks influenced intrinsic load, while extraneous load was affected by ineffective instructional methods, external- and internal distractors. Program design, metacognition, and learner motivation impacted germane load.

CONCLUSIONS:
Cognitive load theory provided a useful theoretical basis for understanding students’ curricular experiences. The COLOAD framework suggests a microlevel interrelatedness of the constituting elements of the 3 cognitive load subtypes. This has implications for curriculum design, pedagogy, and student support. Learning outcomes development and curriculum mapping are important to ensure a lean curriculum, but measures to enhance germane cognitive load might be equally important to achieve competence. Attention to the hidden curriculum and active promotion of reflective practice might reduce cognitive load in complex learning environments such as anesthesia training.
Light-trapping by wave interference in intermediate-thickness silicon solar cells
Authors: Bhattacharya Sayak , John Sajeev 
Published: July 2024

The power conversion efficiency of crystalline silicon (c − Si) solar cells have witnessed a 2.1% increase over the last 25 years due to improved carrier transport. Recently, the conversion efficiency of c − Si cell has reached 27.1% but falls well below the Shockley-Queisser limit as well as the statistical ray-optics based 29.43% limit. Further improvement of conversion efficiency requires reconsideration of traditional ray-trapping strategies for sunlight absorption. Wave-interference based light-trapping in photonic crystals (PhC) provides the opportunity to break the ray-optics based 4n 2 limit and offers the possibility of conversion efficiencies beyond 29.43% in c − Si cells. Using finite difference time domain simulations of Maxwell’s equations, we demonstrate photo-current densities above the 4n 2 limit in 50 − 300µm-thick inverted pyramid silicon PhCs, with lattice constant 3.1µm. Our 150µm-thick PhC design yields a maximum achievable photo-current density (MAPD) of 45.22mA/cm 2. We consider anti-reflection coatings and surface passivation consisting of SiO 2 − SiN
x
− Al 2 O 3 stacks. Our design optimization shows that a 80 − 120 − 150nm stack leads to slightly better solar light trapping in photonic crystal cells with thicknesses <50µm, whereas the 80 − 40 − 20nm stack performs better for cells with thicknesses >100µm. We show that replacing SiN
x
with SiC may improve the MAPD for PhC cells thinner than 100µm. For a fixed lattice constant of 3.1µm, we find no significant improvement in the solar absorption for 50 and 100µm-thick cells relative to a 15µm cell. A substantial improvement in the MAPD is observed for the 150µm cell, but there is practically no improvement in the solar light absorption beyond 150µm thickness.
Stated preferences for new HIV prevention technologies among men who have sex with men in India: A discrete choice experiment
Authors: Cameron Michael P. , Newman Peter A. , Chakrapani Venkatesan , Shunmugam Murali , Roungprakhon Surachet , Rawat Shruta , Baruah Dicky , Nelson Ruban , Tepjan Suchon , Scarpa Riccardo 
Published: July 2024

Introduction
India has the second largest HIV epidemic in the world. Despite successes in epidemic control at the population level, a concentrated epidemic persists among gay and other men who have sex with men (MSM). However, India lags in implementation of biomedical prevention technologies, such as HIV pre-exposure prophylaxis (PrEP). In order to inform scale-up of new HIV prevention technologies, including those in the development pipeline, we assessed willingness to use oral PrEP, rectal microbicides, and HIV vaccines, and choices among product characteristics, among MSM in two major Indian cities.

Methods
A cross-sectional survey was conducted with a discrete choice experiment (DCE), an established methodology for quantitively estimating end-user preferences in healthcare. Survey participants were randomly assigned to one of three questionnaire versions, each of which included a DCE for one prevention technology. Participants were recruited using chain-referral sampling by peer outreach workers, beginning with seeds in community-based organizations and public sex environments, in Chennai and Mumbai. DCE data were analyzed using random-parameters (mixed) logit (RPL) models.

Results
Among participants (n = 600), median age was 25 years, with median monthly income of INR 9,000 (~US$125). Nearly one-third (32%) had completed a college degree and 82% were single/never married. A majority of participants (63%) reported condomless anal sex in the past month. The acceptability of all three products was universally high (≥90%). Across all three products, four attributes were significant predictors of acceptability—with efficacy consistently the most important attribute, and in decreasing order of preference, side-effects, dosing schedule, and venue. MSM varied in their preferences for product attributes in relation to their levels of education and income, and engagement in sex work and HIV risk behavior.

Conclusion
This study provides empirical evidence to facilitate the integration of end users’ preferences throughout design, testing, and dissemination phases of HIV prevention technologies. The findings also suggest action points and targets for interventions for diverse subgroups to support the effectiveness of combination HIV prevention among MSM in India.
Metagenomic sequencing of the skin microbiota of the scalp predicting the risk of surgical site infections following surgery of traumatic brain injury in sub-Saharan Africa
Authors: Lekuya Hervé Monka , Kateete David Patrick , Olweny Geofrey , Kigozi Edgar , Kamabu Larrey Kasereka , Mudekereza Safari Paterne , Nantambi Rose , Mbiine Ronald , Makumbi Fredrick , Cose Stephen , Vandersteene Jelle , Baert Edward , Kalala Jean-Pierre Okito , Galukande Moses 
Published: July 2024

Background
Surgical site infections (SSI) are a significant concern following traumatic brain injury (TBI) surgery and often stem from the skin’s microbiota near the surgical site, allowing bacteria to penetrate deeper layers and potentially causing severe infections in the cranial cavity. This study investigated the relationship between scalp skin microbiota composition and the risk of SSI after TBI surgery in sub-Saharan Africa (SSA).

Methods
This was a prospective cohort study, enrolling patients scheduled for TBI surgery. Sterile skin swabs were taken from the surrounding normal skin of the head and stored for analysis at -80°Celcius. Patients were monitored postoperatively for up to three months to detect any occurrences of SSI. 16S rRNA sequencing was used to analyze the skin microbiota composition, identifying different taxonomic microorganisms at the genus level. The analysis compared two groups: those who developed SSI and those who did not.

Results
A total of 57 patients were included, mostly male (89.5%) with a mean age of 26.5 years, predominantly from urban areas in Uganda and victims of assault. Graphical visualization and metagenomic metrics analysis revealed differences in composition, richness, and evenness of skin microbiota within samples (α) or within the community (β), and showed specific taxa (phylum and genera) associated with either the group of SSI or the No SSI.

Conclusions
Metagenomic sequencing analysis uncovered several baseline findings and trends regarding the skin microbiome’s relationship with SSI risk. There is an association between scalp microbiota composition (abundancy and diversity) and SSI occurrence following TBI surgery in SSA. We hypothesize under reserve that the scalp microbiota dysbiosis could potentially be an independent predictor of the occurrence of SSI; we advocate for further studies with larger cohorts.