Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacterial Contamination of Platelet Products

Transfusion of bacterially contaminated platelets, although rare, is still a major cause of mortality and morbidity despite the introduction of many methods to limit this over the past 20 years. The methods used include improved donor skin disinfection, diversion of the first part of donations, use of apheresis platelet units rather than whole-blood derived pools, primary and secondary testing by culture or rapid test, and use of pathogen reduction. Primary culture has been in use the US since 2004, using culture 24 h after collection of volumes of 4–8 mL from apheresis collections and whole-blood derived pools inoculated into aerobic culture bottles, with limited use of secondary testing by culture or rapid test to extend shelf-life from 5 to 7 days. Primary culture was introduced in the UK in 2011 using a “large-volume, delayed sampling” (LVDS) protocol requiring culture 36–48 h after collection of volumes of 16 mL from split apheresis units and whole-blood derived pools, inoculated into aerobic and anaerobic culture bottles (8 mL each), with a shelf-life of 7 days. Pathogen reduction using amotosalen has been in use in Europe since 2002, and was approved for use in the US in 2014. In the US, recent FDA guidance, effective October 2021, recommended several strategies to limit bacterial contamination of platelet products, including pathogen reduction, variants of the UK LVDS method and several two-step strategies, with shelf-life ranging from 3 to 7 days. The issues associated with bacterial contamination and these strategies are discussed in this review.
El efecto de los emojis sonrientes en la comunicación organizacional

Esta investigación tuvo el objetivo de conocer la influencia que tiene el uso de los emojis sonrientes para suavizar el tono emocional en la retroalimentación crítica enviada por correo electrónico. Fue un estudio exploratorio con diseño experimental, con posprueba únicamente y un grupo de control. La muestra fue de 76 personas de una organización de Puerto Rico, 44.7% mujeres y 55.3% hombres, con edad promedio de 44.8 años (DE = 8.87), los participantes se asignaron aleatoriamente a los dos grupos. Los datos se recolectaron con el Cuestionario para Medir los Niveles de Comunicación de Schulz von Thun. Los resultados de la U de Mann-Whitney confirmaron las hipótesis nulas, puesto que no se hallaron diferencias estadísticamente significativas entre grupo control y experimental. Se concluyó que, para los participantes de este estudio, los emojis sonrientes no tienen la fuerza para suavizar o modificar el tono emocional de la retroalimentación crítica enviada a través del correo electrónico en ninguno de los cuatro niveles del modelo de comunicación de Schulz von Thun.
Improving the Accuracy of the Neural Network Models Interpretation of Nonlinear Dynamic Objects

The paper is devoted to the problem of neural network interpretation in the tasks of modeling nonlinear dynamic objects. The purpose of the work is to improve the accuracy of the neural network models interpretation of nonlinear dynamic objects and to determine the scope of their effective application. This goal is achieved by applying analytical models in the form of integral-power series based on multidimensional weight functions. The scientific novelty of the work lies in the use of nonlinear dynamic models in the form of integral-power series based on multidimensional weight functions instead of linear surrogate models. It allows to improve modeling accuracy. The practical usefulness of the work is determination of the effective application area of analytical interpretive models. The practical significance of the obtained results lies in the application of the proposed models for the interpretation of neural network models of nonlinear dynamic objects, which allows to increase the accuracy of interpretation models compared to linear surrogate models.
Genetic Impact of HOTAIR, LINC00951, POLR2E and HULC Polymorphisms in Histopathological and Laboratory Prognostic Factors in Esophageal Cancer in the West: A Case-Control Study

Simple Summary Single-Nucleotide-Polymorphisms in long non-coding RNAs are correlated with esophageal carcinogenesis, yet research remains restricted in Asian ethnicities. Herein, FFPE specimens were obtained from surgically treated esophageal cancer patients for genotyping deriving from European ancestry. HULC rs7763881 polymorphism was not associated with cancer predisposition. LINC00951 rs11752942 was underrepresented in Ca19.9 elevated subgroup. HOTAIR rs920778 was more frequent in both worse differentiation grade and positive Signet Ring Cell and Ca19.9 subgroups. POLR2E rs3787016 was identified less frequently in Adenocarcinoma, Signet Ring Cell, and Diffuse histological subtypes, as well as in Perineural, Lymphovascular, and Perivascular Invasion positive, while it was found more often in CEA positive subgroup of the whole cancer cohort. Taken together, these lncRNAs polymorphisms are promising not only as future therapeutic agents but also as novel markers for predictive analysis of esophageal cancer risk and oncological outcomes including survival. Abstract Long non-coding RNAs’ HOTAIR rs920778, LINC00951 rs11752942, POLR2E rs3787016, and HULC rs7763881 are progressively reported having a close genetic affinity with esophageal carcinogenesis in the East. Nonetheless, their correlation with variables already endorsed as significant prognostic factors in terms of staging, guiding treatment and predicting recurrence, metastasis, and survival have yet to be explored. Herein, we investigated their prognostic value by correlating them with clinicopathological and laboratory prognostic markers in esophageal cancer in the West. Formalin-fixed paraffin-embedded tissue specimens from 95 consecutive patients operated on for esophageal cancer between 2014 and 2018 were compared with 121 healthy community controls. HULC was not detected differently in any of the cancer prognostic subgroups. LINC00951 was underrepresented in Ca19.9 elevated subgroup. HOTAIR was more frequent in both worse differentiation grade and positive Signet-Ring-Cell and Ca19.9 subgroups. POLR2E was identified less frequently in Adenocarcinoma, Signet-Ring-Cell, and Diffuse histologies, as well as in Perineural, Lymphovascular, and Perivascular Invasion positive, while it was overrepresented in CEA positive subgroup. These lncRNAs polymorphisms may hold great potential not only as future therapeutic agents but also as novel markers for predictive analysis of esophageal cancer risk, clinical outcome, and survival. Clinical implications of these findings need to be validated with prospective larger sample-size studies.
The Age of Older Patients Requiring Prolonged Mechanical Ventilation Is Not the Sole Determinant of Their Long-Term Survival

Background and Objectives: There are few data on the effects of prolonged mechanical ventilation on elderly patients. Our objective is to investigate the effects of prolonged mechanical ventilation on older patients’ successful weaning and long-term survival. Methods: We examined how aging affected the course and results of elderly patients on prolonged mechanical ventilation by contrasting five age groups. Age, sex, cause of acute respiratory failure, comorbidities, discharge status, weaning status, and long-term survival outcomes were among the information we gathered. Results: Patients on prolonged mechanical ventilation who had undergone tracheostomy and had been successfully weaned had a greater one-year survival rate. The 1-year survival rate was poorer for older patients with four or more comorbidities. Regarding the 5-year survival rate, the risk of death was 45% lower in the successfully weaned patients than in the unsuccessfully weaned patients. The risk of death was 46% lower in patients undergoing tracheostomy than in those not undergoing tracheostomy. Older prolonged mechanical ventilation (PMV) patients with four or more comorbidities had an increased risk of death. Conclusions: When it comes to elderly patients on prolonged mechanical ventilation, there are other factors in addition to age that influence long-term survival. Long-term survival is likewise linked to successful weaning and undergoing tracheostomy.
Applicability Analysis of Cryptocurrency Market Based on Capital Asset Pricing Model

At present, there are approximately 9300 types of cryptocurrencies in the cryptocurrency market, with Bitcoin, Ethereum, and other representative cryptocurrencies receiving widespread attention. Currently, scholars have conducted a lot of research on stock pricing using the Capital Asset Pricing Model (CAPM), but there is little research on the application of CAPM in the emerging cryptocurrency market. This article uses the CAPM to conduct an applicability analysis of CAPM of the top 10 cryptocurrencies in the cryptocurrency market from August 1 2021 to July 31 2023. The analysis process involves first conducting a mathematical analysis of the returns and coefficient of cryptocurrencies, and then using the OLS regression model to fit the cryptocurrency data and CAPM formula with analyses of the OLS regression results. The research conclusion of this article is that in most cases, CAPM is not applicable in the cryptocurrency market. This article demonstrates an applicability analysis of CAPM in the cryptocurrency field, providing reference value for scholars conducting research in this field and investors in cryptocurrencies.
Bitcoin Volatility in Web 3.0 and Revelation to Digital Currency

In Web 3.0, bitcoin is the first cryptocurrency and one of the most prominent digital currencies. Cryptocurrency is a form of digital currency that operates on blockchain technology which is decentralized, transparent, and secure. Surrounding why bitcoin fluctuates so intensively, the article illustrates bitcoin’s history, explains the running logic and technical principle behind the volatility, analyses a few factors that contribute to its volatility, and explores the essence of bitcoin through the comparison with stock. Stocks represent the ownership of a specific corporation while bitcoin doesn’t. Bitcoin is more like an artwork whose value is bestowed by the market consensus. Further, the article compares bitcoin with digital RMB. Digital RMB is far more predictable than bitcoin and has profound meaning for China. In the future, digital currency is going to play a dominant role across the world. Though bitcoin is on a downward trend, blockchain technology and cryptocurrency will have positive developing prospect. The article aims at introducing abstract bitcoin in a comprehensible way to help crypto and digital market newcomers digest bitcoin and blockchain and access Web 3.0 and digital currencies.
Network mechanism for generating genuinely correlative Gaussian states

Generating a long-distance quantum state with genuine quantum correlation (GQC) is one of the most essential functions of quantum networks to support quantum communication. Here, we pro- vide a deterministic scheme for generating multimode Gaussian states with certain GQC (including genuine entanglement). Efficient algorithms of generating multimode states are also proposed. Our scheme is useful for resolving the bottleneck in generating some multimode Gaussian states and may pave the way towards real world applications of preparing multipartite quantum states in current quantum technologies.
Foreword to the state of the world's indigenous peoples

Over the past two decades, international efforts have been made to improve the rights of indigenous peoples, to bring awareness to their issues, including their engagement in developing policy and programmes in order to improve their livelihoods. In the First Decade of the World’s Indigenous People (1995-2004) the United Nations created the United Nations Permanent Forum on Indigenous Issues as well as the Special Rapporteur on the rights of indigenous peoples.
An Interaction Behavior Decision-Making Model of Service Robots for the Disabled Based on Human–Robot Empathy

Currently, most service robots typically receive and execute commands in a passive manner, which is unsuitable for more meaningful Human-Robot Interaction (HRI). In this study, a Human-Robot Empathy Decision-Making Model (HREDM) of service robots is developed for personal assistance services. HREDM contains the perception, cognition, and decision-making that enables the robot to understand the emotions of users and respond appropriately with behaviors that appease or encourage them. First, the SE-ResNet (Squeeze-and-Excitation-Residual Neural Network) is used to recognize and understand users’ facial emotions. Then, a Q-Learning-based reinforcement learning model is constructed, which enables the robot to actively learn and interact with users by training on their interaction preferences. The proposed mechanism is used to assess the relationship between the robot’s behaviors and the users’ emotions and to make decisions to influence the users positively. The experiment results demonstrate that the proposed model allows the robot to actively learn, analyze, and make decisions based on identified emotions, leading to appropriate calming behaviors. Further, it attained a score of 3.7 in a satisfaction assessment with volunteers.
A Review of Research on Factors Influencing IPO Premiums

The IPO (Initial Public Offering) market has garnered increasing attention in recent years, and the IPO issue premium, as an important indication, is vital for both investors and firms. The purpose of this research is to investigate the elements that influence the IPO offering premium. This article discover numerous crucial factors after examining and organizing related papers. First, the registration system, including its development history, is a key component in determining the IPO issue premium. Second, the market environment, such as market volatility and market maturity, influences the IPO issue premium. Furthermore, investor mood has a significant impact on the IPO issue premium. Finally, the prominence and experience of underwriting organizations have an impact on IPO issuance premiums. This study verifies the impact of the aforementioned factors on IPO issuance premiums and makes some interesting results by gathering relevant data and employing appropriate statistical methodologies. With a better grasp of these aspects, investors and firms can make more educated investment decisions by better understanding the mechanism of IPO issuance premium development.
Artificial Tear Instillation-Induced Changes in Corneal Topography

This study aims to compare changes of corneal topography (Galilei G4) before and after the instillation of artificial tears in patients with dry eye disease (DED). Corneal topography was performed in patients 1 min before and after artificial tear instillation. Two types of artificial tears were used: 1% polysorbate 80 (PSB) and 0.5% carboxymethylcellulose (CMC). Of 135 patients, PSB and CMC were instilled in 101 and 34 eyes, respectively. The average value of Sim K increased significantly after instillation (44.07 ± 2.26 diopter (D)) compared to before (43.90 ± 2.02 D, p = 0.006) the instillation of artificial tears. Mean Sim K astigmatism was statistically increased after PSB instillation (1.48 ± 2.17 D) compared to before instillation (1.31 ± 2.10 D, p = 0.049). An axis change of astigmatism 10° or more after artificial tear instillation was found in 51.9% of patients, and 30° or more in 20.0% of patients. Increased Sim K value and significant changes in the astigmatic axis in the corneal topography were observed after instillation of artificial tears in DED patients. PSB instillation had a greater effect on corneal keratometry values than CMC instillation.
Respon Pertumbuhan Tanaman Terung (Solanum melongena L.) Terhadap Pemberian Kompos Limbah Nilam (Pogostemon cablin Benth.)

Kuantitas limbah nilam pada indusrti penyulingan nilam yang semakin meningkat membutuhkan upaya pemanfaatan guna menghindari kerusakan lingkunagn, salah satu alternatif yaitu dijadikan sebagai pupuk kompos. Pada tahun 2022 produksi terung mengalami penurunan yaitu sebesar 52.221,00 ton/tahun. Hal tersebut perlu dilakukan peningkatan produksi tanaman terung (Solanum melongena L.) Kompos Limbah nilam merupakan hasil buangan dari proses produksi penyulingan minyak nilam yang memiliki kandungan hara yang sangat dibutuhkan oleh tanaman sehingga dapat dijadikan sebagai alternatif untuk mengganti pupuk anorganik. Penelitian ini bertujuan untuk mengetahui respon kompos limbah nilam terhadap pertumbuhan tanaman terung. Metode yang digunakan dalam penelitian ini yaitu Rancangan Acak Kelompok (RAK) yang terdiri dari 5 taraf perlakuan dan 4 kali ulangan. Dosis yang digunakan adalah K0 (kontrol), K1 (600 gram), K2 (800 gram), K3 (1000 gram), K4 (1500 gram). Parameter yang diamati meliputi tinggi batang (cm) dan jumlah daun (helai). Hasil uji ANOVA untuk kelompok bahwa perlakuan tinggi tanaman terung tidak memberikan pengaruh yang signifikan yaitu Fhitung (2,39) < Ftabel (3,49) maupun pada perlakuan tidak memberikan pengaruh yang signifikan yaitu Fhitung (2,18) < Ftabel (3,26), hal tersebut disebabkan oleh faktor lingkungan seperti curah hujan yang sangat tinggi sehingga kandungan unsur hara yang ada pada pupuk ikut tercuci oleh air dan tidak maksimal diserap oleh akar tanaman. Hasil uji ANOVA pada jumlah helai daun menunjukkan bahwa perlakuan pemberian pupuk kompos limbah nilam untuk kelompok tidak memberikan pengaruh yang signifikan yaitu Fhitung (1,22) < Ftabel (3,49) maupun pada perlakuan tidak memberikan pengaruh yang signifikan yaitu Fhitung (0,66) < Ftabel (3,26), diduga dosis pemberian pupuk belum mencukupi untuk menunjang pertambahan jumlah helai daun pada tanaman terung. Maka dapat disimpulkan bahwa tidak ada pengaruh yang signifikan terhadap pemberian kompos limbah nilam terhadap pertumbuhan tanaman terung.
Neuroprotection strategies in traumatic brain injury: Studying the effectiveness of different clinical approaches

Background: This review delves into clinical strategies aimed at addressing the complexities of traumatic brain injury (TBI), specifically focusing on pharmaceutical interventions and stem cell therapies as potential avenues for enhancing TBI outcomes. Methods: A thorough review of clinical strategies for TBI management, encompassing pharmaceutical and nonpharmaceutical interventions, was performed. PubMed, MEDLINE and clinical trial databases were searched to identify relevant studies and clinical trials. Inclusion criteria consisted of studies involving pharmaceutical agents and other clinical approaches (i.e., stem cell therapies) targeting neuroinflammation, excitotoxicity, oxidative stress, and neurodegeneration in TBI. Data from clinical trials and ongoing research initiatives were analyzed to assess the current status and potential of these clinical approaches. Results: Many trials have been conducted to face the challenge that is TBI. These interventions are designed to target critical aspects of secondary brain injury, encompassing neuroinflammation, excitotoxicity, oxidative stress, and neurodegeneration. Despite this, there is no panacea or definitive remedy for this condition. Combining therapies in a patient-tailored approach seems to be our best chance to improve these patients’ outcomes, but systematic protocols are needed. Conclusion: Clinical strategies represent dynamic and continually evolving pathways in TBI management. This review provides an extensive overview of the existing landscape of clinical approaches and promising new studies and outlines their influence on patient outcomes. By highlighting challenges and presenting opportunities, it contributes to the ongoing mission to advance clinical care for individuals impacted by TBI.
The Effect of Crown of Thorns Starfish on the Great Barrier Reef

Invasive species are normally defined as creatures with high reproduction rates and few natural predators. Their existence in an ecosystem can destroy an entire food chain by overconsumption of a particular population due to their vast numbers. This paper explores the effects the crown of thorns starfish has had on the great barrier reef in the past and the present such as its effects on the ecosystem and impact on human lives. The paper also explores patterns regarding climate change and other human impacts and how that may affect the growth of the crown of thorns. Finally, this paper covers and evaluates the proposed solutions to combat the starfish by weighing their feasibility and how well they could work if they were put into practice. The purpose of this paper is to understand how the crown of thorns is a threat to the great barrier reef and possible methods to combat it.
Atomic Norm Minimization Based Fast Off-Grid Tomographic SAR Imaging With Nonuniform Sampling

The accuracy of the traditional compressed sensing (CS) based tomographic synthetic aperture radar (TomoSAR) imaging is limited by inappropriate grid partitioning. The atomic norm-based processing effectively solves this problem by implementing variable estimation in the continuous domain, that is, avoiding the undesired grid partitioning manipulation. Nevertheless, the performance of the atomic norm-based TomoSAR imaging is limited in two main aspects: limited geometry adaptability caused by the uniform sampling requirement and the high computational load. In this article, a novel atomic norm minimization (ANM) based off-grid TomoSAR imaging is proposed for fast processing with nonuniform sampling. The main technical contributions are twofold: first, the nonuniformly sampled data is resampled to be uniform where a new geometrical projection-based interpolation is used; second, the ANM problem is solved by using the nonsymmetric cone model to speed up the processing, reducing the computational load from <inline-formula> <tex-math notation="LaTeX">$O(N^{2})$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$O(N)$ </tex-math></inline-formula>. The proposed approaches have been verified by computer simulations and real data experiments.
Salvadoran Celastraceae Species as a Source of Antikinetoplastid Quinonemethide Triterpenoids

Chagas disease and leishmaniasis are among the most widespread neglected tropical diseases, and their current therapies have limited efficacy and several toxic side effects. The present study reports the chemical and antikinetoplastid profiles of extracts from five Salvadoran Celastraceae species against the Trypanosoma cruzi epimastigotes stage and Leishmania amazonensis and Leishmania donovani promastigote forms. The phytochemical profile evinced the presence of flavonoids, tannins, sterols, and triterpenes as the main components in all plant species, whereas quinonemethide triterpenoids (QMTs) were restricted to the root bark of the studied species. Antikinetoplastid evaluation highlights the root bark extracts from Zinowewia integerrima, Maytenus segoviarum, and Quetzalia ilicina as the most promising ones, exhibiting higher potency against T. cruzi (IC50 0.71–1.58 µg/mL) and L. amazonensis (IC50 0.38–2.05 µg/mL) than the reference drugs, benznidazole (IC50 1.81 µg/mL) and miltefosine (IC50 2.64 µg/mL), respectively. This potent activity was connected with an excellent selectivity index on the murine macrophage J774A.1 cell line. These findings reinforce the potential of QMTs as antikinetoplastid agents for the development of innovative phytopharmaceuticals and the plant species under study as a source of these promising lead compounds.