Miracle-dz/UniFAR-FTUs huggingface dataset:
A clinical prediction model for predicting the surgical site infection after an open reduction and internal fixation procedure considering the NHSN/SIR risk model: a multicenter case–control study

Introduction Surgical site infection (SSI) is one of the most common surgical-related complications worldwide, particularly in developing countries. SSI is responsible for mortality, long hospitalization period, and a high economic burden. Method This hospital-based case–control study was conducted in six educational hospitals in Tehran, Iran. A total of 244 patients at the age of 18–85 years who had undergone open reduction and internal fixation (ORIF) surgery were included in this study. Among the 244 patients, 122 patients who developed SSIs were selected to be compared with 122 non-infected patients used as controls. At the second stage, all patients (n = 350) who underwent ORIF surgery in a hospital were selected for an estimation of the standardized infection ratio (SIR). A logistic regression model was used for predicting the most important factors associated with the occurrence of SSIs. Finally, the performance of the ORIF prediction model was evaluated using discrimination and calibration indices. Data were analyzed using R.3. 6.2 and STATA.14 software. Results Klebsiella (14.75%) was the most frequently detected bacterium in SSIs following ORIF surgery. The results revealed that the most important factors associated with SSI following an ORIF procedure were found to be elder age, elective surgery, prolonged operation time, American Society of Anesthesiologists score of ≥2, class 3 and 4 wound, and preoperative blood glucose levels of >200 mg/dl; while preoperative higher hemoglobin level (g/dl) was found to be a protective factor. The evidence for the interaction effect between age and gender, body mass index and gender, and age and elective surgery were also observed. After assessing the internal validity of the model, the overall performance of the models was found to be good with an area under the curve of 95%. The SIR of SSI for ORIF surgery in the selected hospital was 0.66 among the patients aged 18–85 years old. Conclusion New risk prediction models can help in detecting high-risk patients and monitoring the infection rate in hospitals based on their infection prevention and control programs. Physicians using prediction models can identify high-risk patients with these factors prior to ORIF procedure.
Electronic health records perception among three healthcare providers specialties in Saudi Arabia: A cross‐sectional study

Abstract Worldwide, more health care facilities are adapting the use of electronic health record (EHR). Healthcare providers (HCP) have different perceptions toward the use of EHR. To investigate the perception of three classes of HCP in Saudi Arabia toward using EHR, a questionnaire (targeting satisfaction, easiness, and benefits of use as major perception indicators) was prepared. The questionnaire was assessed by an expert panel for content validity. The questionnaire internal consistency was examined using Cronbach's alpha. 108 physicians, physical therapists (PT) and respiratory care therapists (RT) from different hospitals in Saudi Arabia answered the questionnaire. Most of respondents perceived EHR systems as beneficial and made work easier. Most HCP were satisfied with the use of EHR, however, with the use of EHR more time was needed to finish the work. Age, experience, job, and job rank of HCP are of different importance in determining responses, perception, and obstacles of using EHR. Moreover, the perception of using EHR seems to be field specific. There is a positive perception among Saudi Arabia HCP about EHR use.
Sociodemographic Factors, Comorbidities, In-Hospital Complications, and Outcomes of Ischaemic Stroke Patients in the Context of the COVID-19 Pandemic in Lithuania: A Retrospective, Record-Based, Single-Centre Study

Introduction: The role of COVID-19 regarding in-hospital complications and poor outcomes for patients with ischaemic stroke (IS) is still important to explore. The aim of this study was to evaluate the risk of in-hospital lethality for IS patients respectively to their comorbidities and in-hospital complications in the context of the COVID-19 pandemic. Methods: We identified 1898 acute IS patients (749 men and 1149 women) admitted to the Lithuanian University of Health Sciences Kaunas Hospital, Lithuania, from December 2020 to February 2022. The sociodemographic, clinical, and outcome features of the patients were evaluated deploying appropriate statistical tests. Hazard ratios and 95% confidence intervals were estimated by the Cox proportional hazards regression for hospital lethality. Results: The risk of in-hospital lethality was 2.22 times higher in men suffering from IS and chronic ischaemic heart disease (cIHD) compared to those with IS and isolated arterial hypertension (iAH) (p < 0.05). COVID-19 elevated the risk of in-hospital lethality in men by 3.16 times (p < 0.05). In comorbid women with type two diabetes mellitus (DM) or cIHD, the risk of in-hospital lethality was two times higher compared to those with iAH (p < 0.05). The risk of in-hospital lethality increased significantly in both men and women, with the total number of in-hospital complications increasing per one unit. Conclusions: Of the comorbidities studied, DM and cIHD together with COVID-19 elevated the risk of in-hospital lethality significantly. Within the acute in-hospital complications, pneumonia with respiratory failure and acute renal failure showed the most significant prognostic value anticipating lethal outcomes for IS patients.
Uprising of ChatGPT and Ethical Problems

Purpose: This study aims to examine ethical issues following the emergence of ChatGPT, evaluate ChatGPT with a focus on moral competence, and seek ethical solutions. Methods: This study tries to use various literature and various media reports from the East and West dealing with the technology, operation method, and ethical issues of ChatGPT. In the detailed analysis of moral problems following the emergence of ChatGPT, the satisfaction of each element was evaluated based on moral competence, and alternatives were presented. Result: As a result of the study, the ethical issues that can be raised following the emergence of ChatGPT include the possibility of plagiarism and copyright infringement, damage to the fairness of the test, use for criminal purposes, occurrence of social stereotypes and unfair discrimination, invasion of personal privacy and organization's Security exposure, reduced critical thinking, and loss of genuine human relationships. And as a result of evaluating the ethical issues of ChatGPT centering on moral competence, it is evaluated that moral identity, moral sensitivity, and moral practice are possible to implement, but moral judgment is evaluated to have many limitations. In order to solve these ethical problems, a utilitarian approach was proposed. Conclusion: The most optimal decisions and actions related to the design, development, adoption, deployment, maintenance and evolution of ChatGPT should do the most good or the least harm to society. To do this, responsible AI toolkits and frameworks must have an ethical perspective built in, allowing for a balanced view of what is right and wrong. Along with this, a multi-stakeholder approach is needed to create a good AI society.
Adapting to Altered Sensory Input: Effects of Induced Paresthesia on Goal-Directed Movement Planning and Execution

The current study investigated how temporarily induced paresthesia in the moving limb affects the performance of a goal-directed target aiming task. Three-dimensional displacement data of 14 neurotypical participants were recorded while they pointed to a target on a computer monitor in four conditions: (i) paresthesia-full-vision; (ii) paresthesia-without-target vision; (iii) no-paresthesia-full-vision; (iv) no paresthesia-without-target vision. The four conditions were blocked and counterbalanced such that participants performed the paresthesia and no-paresthesia conditions on two separate days. To assess how aiming performance changed in the presence of paresthesia, we compared early versus late performance (first and last 20% of trials). We found that endpoint accuracy and movement speed were reduced in the presence of paresthesia, but only without target vision. With repetition, participants adjusted their movement performance strategy, such that with induced paresthesia, they used a movement strategy that included more pre-planned movements that depended less on online control.
Privacy Signals: Exploring the Relationship between Cookies and Online Purchase Intention

Objective: This study examined the role of transparency in opt-in marketing strategies, assessing the influence of cookie acceptance and consumer perception of risks and benefits on online purchasing intention. Theoretical approach: Previous studies have shown that consumers are concerned about privacy but feel uncertain about the consequences of their online behaviors. Drawing upon signaling theory applied to consumer behavior, we analyzed the influence of privacy signals on purchasing intention. Method: We employed a quantitative methodology comprising a descriptive study and four experimental studies. Results: Cookie acceptance positively affects purchasing intention only when consumers accept cookie collection and have a need for the product, resulting in a greater perception of benefits. Risks do not exhibit significance in this process. However, providing more information on data collection proves advantageous as it increases purchasing intention, even for those who do not accept cookies. Conclusions: We contribute to signaling theory by demonstrating that the product need is a determining factor for cookie acceptance. Furthermore, both notice and choice options are insufficient in protecting consumer privacy in online purchases.
Differential molecular programs of cutaneous anaplastic large cell lymphoma and CD30-positive transformed mycosis fungoides

Background Discriminating between cutaneous anaplastic large cell lymphoma (cALCL) and CD30-positive transformed mycosis fungoides (CD30+ TMF) is challenging, particularly when they arise in the context of pre-existing mycosis fungoides. The development of molecular diagnostic tools was hampered by the rarity of both diseases and the limited understanding of their pathogenesis. Methods In this study, we established a cohort comprising 25 cALCL cases and 25 CD30+ TMF cases, with transcriptomic data obtained from 31 samples. We compared the clinicopathological information and investigated the gene expression profiling between these two entities. Furthermore, we developed an immunohistochemistry (IHC) algorithm to differentiate these two entities clinically. Results Our investigation revealed distinct clinicopathological features and unique gene expression programs associated with cALCL and CD30+ TMF. cALCL and CD30+ TMF displayed marked differences in gene expression patterns. Notably, CD30+ TMF demonstrated enrichment of T cell receptor signaling pathways and an exhausted T cell phenotype, accompanied by infiltration of B cells, dendritic cells, and neurons. In contrast, cALCL cells expressed high levels of HLA class II genes, polarized towards a Th17 phenotype, and exhibited neutrophil infiltration. An IHC algorithm with BATF3 and TCF7 staining emerged as potential diagnostic markers for identifying these two entities. Conclusions Our findings provide valuable insights into the differential molecular signatures associated with cALCL and CD30+ TMF, which contribute to their distinct clinicopathological behaviors. An appropriate IHC algorithm could be used as a potential diagnostic tool.
Impact of oil rents, oil prices, and investment taxes on renewable energy consumption and investment: An investigation

The aim of this paper is to explore the relationship between oil rents and renewable energy consumption and to provide evidence on the significance of the effects of oil prices and investment taxes on renewable energy investment. Two different panel data samples were used: six variables for 44 countries were utilized to prove that oil rents’ are an independent variable causing renewable energy consumption, and five variables for 10 countries were utilized to prove that higher oil prices and higher investment taxes lead to higher levels of renewable energy investment. For both samples, the Granger causality test, unit root test, correlation matrix, fixed and random multiple regressions, Hausman test, and panel cointegration test were performed. The paper adds to the narrow literature on the determinants of renewable energy consumption, mainly oil rents. It also provides further evidence on how higher investment taxes can lead to higher renewable energy investment. The findings confirm that “oil rents” directly affect the variations in renewable energy consumption and that investment taxes directly affect renewable energy investment as they lead to a higher selling price of oil-dependent products. However, no correlation was found between renewable energy investment and oil prices. Taxes are an effective instrument for changing people's and businesses' behaviour. Given the numerous advantages of renewable energy consumption and investment, governments must make plans and create regulations and laws to compel a gradual transition from non-renewable to renewable energy using consumption and investment taxes and other behavioral incentives.
Recovery, Identity, Resistance: Exploring Substance Use Stigma in Rural Ontario

ABSTRACT Although much attention focuses on mental health recovery and stigma, less attention is paid to substance use especially in rural areas. This qualitative study draws on Foucauldian and intersectional approaches to examine the sociocultural processes by which stigmatized identities are constructed and rejected at micro and macro levels. A thematic analysis is applied to 40 interviews with people with substance use issues in two rural communities. Findings illustrate that stigma is constructed through binary identity categories and intersectional identities rooted in neoliberal contexts. Resistance is demonstrated at personal, peer, public, and structural levels, offering counter narratives of strength and resilience.
Recovery Effects of Foam Rolling on Psychophysiological Responses in Thai National Male Ice Hockey Players

We examined the short-term effects of foam rolling (FR), dynamic stretching (DS), and passive rest (PR) following simulated ice hockey exercise (IHE) on heart rate (HR), blood lactate (BL), leg choice reaction time (CRTleg), rating of perceived exertion (RPE), and global rating of change (GRC) in elite ice hockey players. The study followed a randomized cross-over design. Fifteen national male ice hockey players were assigned to the FR, DS, or PR interventions for 10 mins following 35- min of simulated IHE. HR and BL were obtained at 0-, 5- and 10-min post-intervention. CRTleg and RPE were assessed pre-and post-intervention. GRC was evaluated post-intervention. The PR decreased HR faster than the DS at 5-min of post-treatment. Whereas the FR and DS reduced BL levels faster than the PR at 5- and 10-min post-treatment. There was no difference in CRTleg among the FR, DS, and PR. The FR had lower RPE scores compared to the DS and PR post-treatment. As perceptual aspects, the FR was the most preferred treatment by ice hockey athletes. The FR and DS exerted more beneficial effects on BL but not on HR by the passive rest. The FR showed the most effective treatment on the psychological demands by improving RPE and perceptual responses over the DS and PR. Thus, the FR could be used as a choice for post-game recovery treatment on improving physiological and perceptual responses following an intense match-play in ice hockey players.
Adverse Side Effects of Crizotinib in the Treatment of Anaplastic Lymphoma Kinase-Mutated Non-small Cell Lung Cancer: A Systematic Review

Lung cancer is the leading cause of cancer deaths worldwide, with the majority consisting of non-small cell lung cancer (NSCLC). Genetic mutations present an opportunity for targeted therapy, in addition to current mainstay treatments such as chemotherapy and radiotherapy. Overall, 5% of NSCLCs have an anaplastic lymphoma kinase (ALK) mutation, often prevalent in a younger population. Crizotinib is an ALK inhibitor that was approved to treat ALK-mutated advanced NSCLC. While common side effects such as nausea, fatigue, and diarrhea are mostly well tolerated, adverse side effects can lead to treatment discontinuation or adjustment or can be fatal. This systematic review used articles searched on Google Scholar and PubMed which were assessed using the Cochrane risk-of-bias tool and Newcastle-Ottawa Scale. This yielded nine papers consisting of randomized controlled trials and cohort studies. Side effects resulting in cessation of treatment or dose reduction included liver dysfunction, nausea, neutropenia, and QT prolongation. This review showed that crizotinib has a better side effect profile than chemotherapy in ALK-positive NSCLC, even though toxicities leading to treatment withdrawal are present. Adverse effects were tackled by dose reduction, temporary withdrawal from treatment, and close monitoring.
Perinatal Outcomes of Pregnancy in Women with Scarred Uteri

Objective Uterine scarring is risky for the pregnancy and is closely associated with adverse pregnancy outcomes. Here, we investigated risk factors and associated perinatal outcomes in singleton pregnant women with uterine scars. Methods This retrospective cohort study was conducted on singleton pregnant women who delivered at the West China Second University Hospital between January 1, 2021, and December 31, 2021. Results The control group included 13,433 cases without uterine scars. The study group involved 2397 cases with one previous cesarean delivery (PCD), 163 cases with two PCDs, 12 cases with three PCDs, and 184 cases with non-cesarean uterine scars. The study group had a significantly higher incidence of placenta previa (6.4%), placenta percreta (5.3%), preterm delivery (10.3%), postpartum hemorrhage (3.4%), uterine rupture (9.4%), hysterectomy (0.18%), and bladder injury (0.4%) when compared with the control group (P <0.05). The scarred uterus cases with 1, 2, or 3 PCDs had significantly different complications, with the higher PCD frequency correlating with increased rates of placenta previa, placenta percreta, postpartum hemorrhage, uterine rupture, and uterine resection. Moreover, the hospitalization time, cesarean operation time, and intrapartum bleeding in the current pregnancy significantly increased with increasing PCD frequency (P <0.05). Analysis of the association between the duration of the interval between PCD and re-pregnancy and pregnancy complication revealed that the incidence of pernicious placenta previa was statistically higher in cases with intervals of <2 years or ≥5 years (4.7%) than in cases with 2 years ≤ interval time <5 years (2.5%) (P <0.05). Conclusion Pregnancies with uterine scars may experience higher rates of adverse perinatal outcomes. This calls for increased observation during pregnancy and delivery to reduce maternal and fetal complications.
On-Line Network Traffic Anomaly Detection Based on Tensor Sketch

Network traffic anomaly detection is critical for advanced network applications. However, network traffic monitoring data arrive in a streaming fashion and could be infinite, which makes the offline algorithms that attempt to store the entire stream monitoring data for analysis not scalable. To well utilize the strong ability of tensor model, we use a tensor to represent the prior non-anomalous traffic matrices and propose a novel unsupervised anomaly detection framework that can be used to detect anomalies in a streaming fashion by making only one pass over the data while utilizing limited storage. In the framework, we propose a succinct tensor sketch to maintain, in a streaming model, the subspace that can well represent all prior non-anomalous data detected. Using the subspace, anomalies in each new incoming traffic monitoring data can be quickly detected based on a simple outlier score calculation. Further, we prove that the tensor sketch is mergeable. Exploiting this property, we propose a distributed anomaly detection framework in which the distributed node only needs to upload its succinct tensor sketch instead of the raw monitoring data to the central node to calculate the global subspace of the whole network, which greatly saves the transmission cost. We theoretically prove that our tensor sketch based anomaly detection algorithm compares favorably with the offline approach which calculates the subspace based on expensive global Singular Value Decomposition (SVD). The experimental results demonstrate the effectiveness and efficiency of our approach over other popular online anomaly detection algorithms.
The Essential Role of PCR and PCR Panel Size in Comparison with Urine Culture in Identification of Polymicrobial and Fastidious Organisms in Patients with Complicated Urinary Tract Infections

Complicated urinary tract infections (cUTIs) are difficult to treat, consume substantial resources, and cause increased patient morbidity. Data suggest that cUTI may be caused by polymicrobial and fastidious organisms (PMOs and FOs, respectively); as such, urine culture (UC) may be an unreliable diagnostic tool for detecting cUTIs. We sought to determine the utility of PCR testing for patients presumed to have a cUTI and determine the impact of PCR panel size on organism detection. We reviewed 36,586 specimens from patients with presumptive cUTIs who received both UC and PCR testing. Overall positivity rate for PCR and UC was 52.3% and 33.9%, respectively (p < 0.01). PCR detected more PMO and FO than UC (PMO: 46.2% vs. 3.6%; FO: 31.3% vs. 0.7%, respectively, both p < 0.01). Line-item concordance showed that PCR detected 90.2% of organisms identified by UC whereas UC discovered 31.9% of organisms detected by PCR (p < 0.01). Organism detection increased with expansion in PCR panel size from 5–25 organisms (p < 0.01). Our data show that overall positivity rate and the detection of individual organisms, PMO and FO are significantly with PCR testing and that these advantages are ideally realized with a PCR panel size of 25 or greater.