bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antimicrobial peptides and other potential biomarkers of critical illness in SARS‐CoV‐2 patients with acute kidney injury. AMPAKI‐CoV study
Authors: Theotonio dos Santos Lucas Ferreira , Barbeiro Hermes Vieira , Barbeiro Denise Frediani , de Souza Heraldo Possolo , Pinheiro da Silva Fabiano 
Published: February 2024

AbstractAntimicrobial peptides (AMPs) constitute a complex network of 10–100 amino acid sequence molecules widely distributed in nature. While over 300 AMPs have been described in mammals, cathelicidins and defensins remain the most extensively studied. Some publications have explored the role of AMPs in COVID‐19, but these findings are preliminary, and in vivo studies are still lacking. In this study, we report the plasma levels of five AMPs (LL‐37, α‐defensin 1, α‐defensin 3, β‐defensin 1, and β‐defensin 3), using the ELISA technique (MyBioSource, San Diego, CA, United States, kits MBS2601339 (beta‐defensin 1), MBS2602513 (beta‐defensin 3), MBS703879 (alpha‐defensin 1), MBS706289 (alpha‐defensin 3), MBS7234921 (LL37)), and the measurement of six cytokines (tumor necrosis factor‐α, interleukin‐1β, interleukin‐6, interleukin‐10, interferon‐γ, and monocyte chemoattractant protein‐1), through the magnetic bead immunoassay Milliplex® and the MAGPIX® System (MilliporeSigma, Darmstadt, Germany, kit HCYTOMAG‐60 K (cytokines)), in 15 healthy volunteers, 36 COVID‐19 patients without Acute Kidney Injury (AKI) and 17 COVID‐19 patients with AKI. We found increased levels of α‐defensin 1, α‐defensin 3 and β‐defensin 3, in our COVID‐19 population, when compared to healthy controls, along with higher levels of interleukin‐6, interleukin‐10, interferon‐γ, and monocyte chemoattractant protein‐1. These findings suggest that these AMPs and cytokines may play a crucial role in the systemic inflammatory response and tissue damage characterizing severe COVID‐19. The levels of α‐defensin 1 and α‐defensin 3 were significantly higher in COVID‐19 AKI group in comparison to the non‐AKI group. Furthermore, IL‐10 and the product IL‐10 × IL‐1B showed excellent performance in discriminating AKI, with AUCs of 0.86 and 0.88, respectively. Among patients with COVID‐19, AMPs may play a key role in the inflammation process and disease progression. Additionally, α‐defensin 1 and α‐defensin 3 may mediate the AKI process in these patients, representing an opportunity for further research and potential therapeutic alternatives in the future.
25 Jahre Fachangestellte für Medien- und Informationsdienste: Ein kurzer Rück- und Ausblick
Authors: Holste-Flinspach Karin 
Published: February 2024

Zusammenfassung
1998 bis 2023: Aus Anlass von 25 Jahren FaMI-Ausbildung ein Rückblick auf die Entstehungsgeschichte des Berufes, seine Entwicklung und ein Ausblick auf die derzeitige von Neuordnungsbestrebungen bestimmte Entwicklung.
„Steter Tropfen höhlt den Stein“ – es braucht einen langen Atem auf dem Weg zur Barrierefreiheit
Authors: Büchel Claudia 
Published: February 2024

Zusammenfassung
Es dauerte insgesamt zehn Jahre, bis die Stadtbibliothek Neuss (Rhein-Kreis Neuss, NRW) die Kriterien erfüllte für das Signet „Neuss barrierefrei“. Sie verfolgt dabei einen ganzheitlichen Ansatz, der Vermittlungs- und Medienangebote, Veranstaltungen, Fortbildungen für die Mitarbeitenden und eine kompetente Ansprechpartnerin umfasst.
Effectiveness and safety of a mumps containing vaccine in preventing laboratory-confirmed mumps cases from 2002 to 2017: A meta-analysis
Authors: Gao Bu-Gang , Huang Ling-feng , Xie Ping 
Published: February 2024

Abstract
Emerging evidence has figured that serum conversion rate of mumps is a crucial link of mumps disease. Nevertheless, a rising number of mumps outbreaks caused our attention and studies examining the serum conversion cases were conducted in small samples previously; this meta-analysis was conducted to assess the immunogenicity and safety of a mumps containing vaccine (MuCV) before 2019. We identified a total of 17 studies from the year of 2002–2017. In the case–control studies, the vaccine effectiveness (VE) of MuCV in preventing laboratory-confirmed mumps was 68% (odds risk: 0.32; 95% confidence interval [CI], 0.14−0.70) while in the cohort studies and randomised control trials, 58% (relative risk [RR]: 0.42; 95% CI, 0.26−0.69). Similar intervals of effectiveness rates were found during non-outbreak periods compared with outbreak periods (VE: 66%; RR: 0.34; 95% CI, 0.18−0.68 versus VE: 49%; RR: 0.51; 95% CI, 0.21−1.27). In addition, the MuCV group with two and three doses did not show enhanced laboratory-confirmed mumps than one dose (VE: 58%; RR: 0.42; 95% CI, 0.20−0.88 versus VE: 65%, RR: 0.35; 95% CI, 0.20−0.61) for the reason of the overlap of 95% CI. MuCV had comparable effectiveness comparing non-outbreak and outbreak period, one dose, and two or three doses. MuCV displayed acceptable adverse event profiles.
Issues in assessing analytical performance specifications in healthcare systems assembling multiple laboratories and measuring systems
Authors: Theodorsson Elvar 
Published: February 2024

Abstract
Analytical performance specifications (APS) are usually compared to the intermediate reproducibility uncertainty of measuring a particular measurand using a single in vitro diagnostic medical device (IVD MD). Healthcare systems assembling multiple laboratories that include several IVD MDs and cater to patients suffering from long-term disease conditions mean that samples from a patient are analyzed using a few IVD MDs, sometimes from different manufacturers, but rarely all IVD MDs in the healthcare system. The reproducibility uncertainty for results of a measurand measured within a healthcare system and the components of this measurement uncertainty is useful in strategies to minimize bias and overall measurement uncertainty within the healthcare system. The root mean squares deviation (RMSD) calculated as the sample standard deviation (SD) and relative SD includes both imprecision and bias and is appropriate for expressing such uncertainties. Results from commutable stabilized internal and external control samples, from measuring split natural patient samples or using big-data techniques, are essential in monitoring bias and measurement uncertainties in healthcare systems. Variance component analysis (VCA) can be employed to quantify the relative contributions of the most influential factors causing measurement uncertainty. Such results represent invaluable information for minimizing measurement uncertainty in the interest of the healthcare systemʼs patients.
Lessons in clinical reasoning – pitfalls, myths, and pearls: a woman brought to a halt
Authors: Rezigh Austin , Rezigh Alec , Sherman Stephanie 
Published: February 2024

Abstract

Objectives
Limitations in human cognition commonly result in clinical reasoning failures that can lead to diagnostic errors. A metacognitive structured reflection on what clinical findings fit and/or do not fit with a diagnosis, as well as how discordance of data can help advance the reasoning process, may reduce such errors.

Case presentation
A 60-year-old woman with Hashimoto thyroiditis, diabetes, and generalized anxiety disorder presented with diffuse arthralgias and myalgias. She had been evaluated by physicians of various specialties and undergone multiple modalities of imaging, as well as a electromyography/nerve conduction study (EMG/NCS), leading to diagnoses of fibromyalgia, osteoarthritis, and lumbosacral plexopathy. Despite treatment for these conditions, she experienced persistent functional decline. The only definitive alleviation of her symptoms identified was in the few days following intra-articular steroid injections for osteoarthritis. On presentation to our institution, she appeared fit with a normal BMI. She was a long-time athlete and had been training consistently until her symptoms began. Prediabetes had been diagnosed the year prior and her A1c progressed despite lifestyle modifications and 10 pounds of intentional weight loss. She reported fatigue, intermittent nausea without emesis, and reduced appetite. Examination revealed intact strength and range of motion in both the shoulders and hips, though testing elicited pain. She had symmetric hyperreflexia as well as a slowed, rigid gait. Autoantibody testing revealed strongly positive serum GAD-65 antibodies which were confirmed in the CSF. A diagnosis of stiff-person syndrome was made. She had an incomplete response to first-line therapy with high-dose benzodiazepines. IVIg was initiated with excellent response and symptom resolution.

Conclusions
Through integrated commentary on the diagnostic reasoning process from clinical reasoning experts, this case underscores the importance of frequent assessment of fit along with explicit explanation of dissonant features in order to avoid misdiagnosis and halt diagnostic inertia. A fishbone diagram is provided to visually demonstrate the major factors that contributed to the diagnostic error. The case discussant demonstrates the power of iterative reasoning, case progression without commitment to a single diagnosis, and the dangers of both explicit and implicit bias. Finally, this case provides clinical teaching points in addition to a pitfall, myth, and pearl specific to overcoming diagnostic inertia.
Static behavior of piled raft foundation in clay
Authors: Alnumairi Zainab Sadoon , AlShareefi Suhair Razzaq 
Published: February 2024

Abstract
Wall piles supported with anchors are considered one of the most prevalent types of engineering support. This research includes studying the behavior of wall piles through a numerical parametric study using the FE-method program (PLAXIS 2D). The study includes the most influencing factors such as the angle of the inclination, the vertical spacing between the rows of anchors, and the distance of the first row of anchors from the ground surface. The effects of these factors on the stability of the wall were studied. Optimal positioning of the anchors is crucial, as it maximizes their effectiveness and contributes significantly to reducing the overall construction costs. The use of a guys queue for the economic aspect saves the cost of executing two guys queue because the effect of having two rows does not significantly change the transfer values. The optimum angle of inclination of the tensioner row is 15° in favor of safety, and as it gives good stability of the wall to the wedge wall, with an increase in this angle, the horizontal movement decreases. The first optimum dimension for a row of guys from the horizontal surface of the earth is O = 25%H. Decrease the values of horizontal movement of the wall by increasing the angle of friction.
Removal of phytic acid in protein via pretreatment of rapeseed meal
Authors: Li Yanlei , Sun Yiying , Lu Lin , Gao Zhiming , Wu Yuehan , Yuan Dan , Jiang Wenxin 
Published: February 2024

Abstract
To obtain rapeseed protein with low phytic acid (PA), soy protein isolate (SPI) was used to investigate the interactions between SPI and PA. The influence of pretreatment (soaking using salt solution and dialysis) of the defatted rapeseed meal on the PA and protein content in the final rapeseed proteins was also studied. The results showed that electrostatic interactions dominated the protein–PA interaction, which was affected by pH and ionic strength. Accordingly, the pH and ionic strength in the soaking medium also influenced the PA remained in the rapeseed proteins. The PA content decreased with the ionic strength (400–800 mM) and relatively low PA was obtained at pH 6.0 (soaking environment). Finally, 52.8 % of the PA have been removed and PA content remained in rapeseed protein isolate (RPI) reached about 0.84 mg/g, at the same time, the protein content was maintained around 86.70 %. Overall, soaking using salt solution and dialysis could be an effective method to achieve high quality rapeseed protein with low PA.
Realizing finite groups as automizers
Authors: Bayard Sylvia , Lynd Justin 
Published: February 2024

Abstract
It is shown that any finite group 𝐴 is realizable as the automizer in a finite perfect group 𝐺 of an abelian subgroup whose conjugates generate 𝐺.
The construction uses techniques from fusion systems on arbitrary finite groups, most notably certain realization results for fusion systems of the type studied originally by Park.
Predicting cued and oddball visual search performance from fMRI, MEG, and DNN neural representational similarity
Authors: Yeh (葉律君) Lu-Chun , Thorat Sushrut , Peelen Marius V. 
Published: February 2024

Capacity limitations in visual tasks can be observed when the number of task-related objects increases. An influential idea is that such capacity limitations are determined by competition at the neural level: two objects that are encoded by shared neural populations interfere more in behavior (e.g., visual search) than two objects encoded by separate neural populations. However, the neural representational similarity of objects varies across brain regions and across time, raising the question of where and when competition determines task performance. Furthermore, it is unclear whether the association between neural representational similarity and task performance is common or unique across tasks. Here, we used neural representational similarity derived from fMRI, MEG, and deep neural networks (DNN) to predict performance on two visual search tasks involving the same objects and requiring the same responses but differing in instructions: cued visual search and oddball visual search. Separate groups of human participants (both sexes) viewed the individual objects in neuroimaging experiments to establish the neural representational similarity between those objects. Results showed that performance on both search tasks could be predicted by neural representational similarity throughout the visual system (fMRI), from 80 msec after onset (MEG), and in all DNN layers. Stepwise regression analysis, however, revealed task-specific associations, with unique variability in oddball search performance predicted by early/posterior neural similarity, and unique variability in cued search task performance predicted by late/anterior neural similarity. These results reveal that capacity limitations in superficially similar visual search tasks may reflect competition at different stages of visual processing.Significance StatementVisual search for target objects is slowed down by the presence of distractors, but not all distractors are equally distracting – the more similar a distractor is to the target, the more it slows down search. Here, we used fMRI, MEG, and a deep neural network to reveal where, when, and how neural similarity between targets and distractors predicts visual search performance across two search tasks: oddball visual search (locating the different-looking object) and cued visual search (locating the cued object). Results also revealed brain regions, time points, and feature levels that predicted task-unique performance. These results provide a neural basis for similarity theories of visual search and show that this neural basis differs across visual search tasks.
Daily activity rhythm of the African stingless bee Hypotrigona gribodoi (Hymenoptera: Meliponini) in the dry season, with notes on nest structure and colony composition
Authors: Asante Prince , Starr Christopher K. 
Published: February 2024

We studied 18 colonies of Hypotrigona gribodoi (Magretti) nesting in the tubing of a disused horticultural sprinkler system during the late dry season in Ghana, West Africa. Flight activity began around dawn (about 06:00), rising to a peak in the half-hour starting 07:30 and gradually declining to end around dusk (about 18:00). Bees returning with pollen showed a more extended peak from 07:30 to 09:00. Dissection of 18 nests showed a mean inner volume of 466.5 ml, while 17 active colonies had a mean number of 851 adults. Colony size is positively correlated with nest size. It is likewise positively correlated with the fraction of fully mature adult females. Several nests had branching entrance tubes with an angle of roughly 30⁰ between branches. In each of three such nests studied, there was a marked division in the use of the two branches, such that one served mainly as an exit and the other as an entrance.
A Study on Energy-Efficient Wireless Sensor Network based on Machine Learning Techniques
Authors: Bhanu Priyanka Valluri Et al. 
Published: February 2024

Wireless sensor networks (WSNs) are advantageous when there is no existing infrastructure (such as in military applications, emergency relief efforts, etc.) and it is necessary to develop a network at a low cost. A predetermined routing protocol or intrusion detection system is not available to Wireless Sensor Networks because they are dynamic by nature and need separating the network's nodes to do this. Because nodes in the majority of WSN applications are mobile and rely on battery capacity and the availability of restricted resources, energy consumption is an important research area for carrying out a variety of activities in WSNs. Self-learning algorithms that function without scripting or human involvement can be effectively used to report this problem depending on the applications need. This study investigated different ML-based WSN systems and exploring the ML techniques for energy efficiency along with some open issues.
Triple Even Star Decomposition of Complete Bipartite Graphs
Authors: E. Esakkiammal Et al. 
Published: February 2024

Let G be a finite, connected, undirected graph without loops or multiple edges. A decomposition {G2, G4, . . . , G2k} of G is said to be an even star decomposition if each Gi is a star and |E(Gi)| = i for all i = 2, 4, . . . , 2k. A graph G is said to have Triple Even Star Decomposition (TESD) if G can be decomposed into 3k stars {3S2, 3S4, . . . , 3S2k}. In this paper, we characterize Triple Even Star Decomposition of complete bipartite graphs
Km,n when m = 2 and m = 3.
Telemedicine Revolution: Bridging Gaps in Access to Healthcare
Authors: Mamta Kale Et al. 
Published: February 2024

A rapidly developing area of contemporary healthcare called telemedicine uses digital technologies to provide distant medical treatments. This overview examines the complex field of telemedicine, covering its history, effects on patient outcomes, access to healthcare, problems, and potential future developments.
The rapid expansion of telemedicine, driven by technical improvements, is seen in its current vast repertory of services, which includes tele-diagnosis, tele-surgery, and tele-rehabilitation, from its early beginnings of allowing remote consultations. These developments—which have been made possible by the widespread use of mobile devices and internet connectivity—have transformed the way healthcare is delivered, bridging geographic divides and providing access to a wide range of medical specialties.
The potential of telemedicine to close gaps, particularly in rural and underserved regions, demonstrates the significant influence it has on healthcare access. Telemedicine addresses gaps in healthcare accessibility and strengthens marginalised communities by enabling timely access to medical services through virtual consultations and remote monitoring.
Additionally, telemedicine shows promise in improving patient outcomes by facilitating ongoing monitoring, tailored treatment, and early interventions. It is essential to the management of chronic illnesses, mental health services, and post-operative care, improving patient well-being and health results.
However, there are obstacles to telemedicine, including differences in technology, worries about data security, unclear regulations, and ethical issues. In order to provide fair access, protect patient privacy, and create uniform standards for its moral and efficient integration into healthcare systems, these issues must be resolved.
Precision Medicine: Tailoring Therapies for Individual Patient Needs
Authors: Gouri Tamhankar Et al. 
Published: February 2024

Precision medicine is a novel paradigm in healthcare that refers to a revolutionary method of customising medicinal therapies for specific individuals. The present study delves into the development, obstacles, and many uses of precision medicine, emphasising its crucial function in transforming healthcare for patients. Precision medicine has come a long way since the groundbreaking success of the Human Genome Project, thanks to advances in genome sequencing technology and computer power. Important elements of this strategy include focused medicines, personalised diagnostics, and genetic profiling, with the goal of maximising therapeutic effectiveness and minimising side effects. Implementing precision medicine presents a number of challenges, from the necessity for a strong infrastructure for data interpretation and clinical integration to ethical issues relating to patient data protection.
The influence of precision medicine is seen across several fields, most notably oncology, where tailored treatments that are emerging as a result of genetic sequencing of tumours are revolutionising cancer treatment. Furthermore, pharmacogenomics clarifies how genetic differences affect drug response, opening the door to customised treatment regimens. Interestingly, precision medicine plays a part in uncommon diseases as well, providing specialised care based on genetic discoveries.
The assessment emphasises the necessity of teamwork in overcoming obstacles and realising precision medicine's full potential. It is still critical to address healthcare inequities, make sure regulatory frameworks keep up with changing technology, and develop a workforce that is skilled in genetic interpretation. A new age of healthcare marked by precise and personalised therapies that maximise patient outcomes is anticipated as precision medicine develops further.
Innovations in Minimally Invasive Gynecologic Surgery: Improving Outcomes and Recovery Gynecology
Authors: R. P.Patange Et al. 
Published: February 2024

A paradigm change has occurred in minimally invasive gynecologic surgery (MIGS), which uses improved techniques and technology to improve patient care and recovery after surgery. This review paper provides a thorough analysis of current advancements in MIGS, emphasising its significant influence on surgical results and patient recovery. This research examines significant technical developments, procedural improvements, and their effects on how gynecologic surgery is evolving.
The accuracy and effectiveness of MIGS have been redefined by technological advancements such as augmented reality, robotic-assisted surgery, sophisticated imaging modalities, and specialty equipment. By reducing invasiveness and revolutionising the surgical technique, these advancements provide improved visibility, surgical precision, and manoeuvrability. The paper goes into detail on how important these developments are for streamlining complex procedures and enhancing patient outcomes.
The study also explores the development of improved recovery pathways in MIGS, highlighting early mobilisation, individualised care plans, multimodal pain management techniques, and psychological support. When these tactics are included into perioperative treatment, they greatly speed up patients' recuperation and enhance their general health.
When comparing MIGS advancements to open operations, a critical examination shows that patients have less blood loss, shorter hospital stays, fewer complications, better pain management, and a speedier return to regular activities. Promising findings are also shown in long-term patient outcomes and safety profiles after MIGS treatments.