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Unveiling functional relationships between various molecular cell phenotypes from data using machine learning models is a key promise of multiomics. Existing methods either use flexible but hard-to-interpret models or simpler, misspecified models. VI-VS (Variational Inference for Variable Selection) balances flexibility and interpretability to identify relevant feature relationships in multiomic data. It uses deep generative models to identify conditionally dependent features, with false discovery rate control. VI-VS is available as an open-source Python package, providing a robust solution to identify features more likely representing genuine causal relationships.

Abstract Unveiling functional relationships between various molecular cell phenotypes from data using machine learning models is a key promise of multiomics. Existing methods either use flexible but hard-to-interpret models or simpler, misspecified models. VI-VS (Variational Inference for Variable Selection) balances flexibility and interpretability to identify relevant feature relationships in multiomic data. It uses deep generative models to identify conditionally dependent features, with false discovery rate control. VI-VS is available as an open-source Python package, providing a robust solution to identify features more likely representing genuine causal relationships.

Objective: This study aimed to develop the Turkish version of the Brief Michigan Hand Outcomes Questionnaire (B-MHQ) and to demonstrate its reliability and validity for evaluating hand function in the Turkish population with hand/wrist disorders. Methods: This study was conducted in accordance with Beaton et al.’s Guidelines for the Process of Cross-Cultural Adaptation of SelfReport Measures. A total of 54 patients with various hand and wrist problems were included in the study. The B-MHQ and Quick Disabilities of the Arm, Shoulder, and Hand (Q-DASH) were used to evaluate hand function, and the visual analog scale (VAS) was used for the assessment of pain, which were completed by the subjects at baseline and 7 days later. Results: The Turkish version of the B-MHQ showed good internal consistency, as evidenced by Cronbach alpha coefficients ranging from 0.895 to 0.876, and excellent test–retest reliability with an intraclass correlation coefficient of 0.968. In addition, B-MHQ was strongly correlated with Q-DASH (r=−0.878) and moderately correlated with VAS (r=−0.445). Conclusion: The Turkish version of the B-MHQ seems to be a reliable and valid tool for assessing hand function in Turkish-speaking patients with hand disorders. Level of Evidence: Level III, Diagnostic Study.

We investigated the effects of propofol on the antioxidant defense mechanisms, pro and anti-inflammatory cytokine expressions and specific defense processes in the study since these parameters play a significant role in postoperative complications, regulation of immune reactions, and wound healing. Twenty male cats were included in the study, anesthesia protocol was induced by IV administration of 6 mg/kg of propofol. Blood samples were harvested right before (T0) and fifteen minutes after (T1) propofol injection. Serum malondialdehyde (MDA), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), IL-4, IL-8, TNF-α, IL-1β, and IFN-γ levels; the number of CD4+, CD8+ T cells and CD4/CD8 ratio in peripheral blood were determined. Propofol reduced the serum MDA and GSH-Px, while CAT and SOD levels remained unchanged. Furthermore, propofol did not impact serum IL-8, TNF-α, and IL-1β levels. Contrastingly, IFN-γ level tended to elevate, and serum IL-4 level was significantly increased. On the other hand, the CD8+ T cell population was significantly decreased, while the number of CD4+ T cells and the CD4/CD8 ratio were unaffected. Briefly, propofol did not adversely affect oxidative defense mechanisms, proinflammatory and anti-inflammatory cytokine cascade, and cell mediated immunity. Considering the insufficiency of cats" hepatic drug metabolism, we may conclude that propofol is a safe product regarding the investigated parameters.

The development of CD4+ T cells and CD8+ T cells in the thymus is critical to adaptive immunity and is widely studied as a model of lineage commitment. Recognition of self-peptide major histocompatibility complex (MHC) class I or II by the T cell antigen receptor (TCR) determines the CD8+ or CD4+ T cell lineage choice, respectively, but how distinct TCR signals drive transcriptional programs of lineage commitment remains largely unknown. Here we applied CITE-seq to measure RNA and surface proteins in thymocytes from wild-type and T cell lineage-restricted mice to generate a comprehensive timeline of cell states for each T cell lineage. These analyses identified a sequential process whereby all thymocytes initiate CD4+ T cell lineage differentiation during a first wave of TCR signaling, followed by a second TCR signaling wave that coincides with CD8+ T cell lineage specification. CITE-seq and pharmaceutical inhibition experiments implicated a TCR-calcineurin-NFAT-GATA3 axis in driving the CD4+ T cell fate. Our data provide a resource for understanding cell fate decisions and implicate a sequential selection process in guiding lineage choice.

ABSTRACT Background Understanding the nature of inflammatory responses in cats with bacterial and viral infections is essential for accurately managing the infection. This study aimed to investigate the diversities of inflammatory responses between bacterial and viral infections in cats to figure out their role in the pathophysiology of these infections. Methods Seventy‐five owned cats were included in the study. The evaluations were performed based on three groups: healthy control, bacterial infection group (those with bronchopneumonia and gastrointestinal tract and urinary tract infections) and viral infection group (21 with feline coronavirus [FCoV], 3 with feline leukaemia virus [FeLV] and 1 with feline calicivirus), each containing 25 individuals. Total and differential leukocyte counts, C‐reactive protein (CRP), transforming growth factor beta (TGF‐β), interleukin‐6 (IL‐6), tumour necrosis factor‐alpha (TNF‐α), interleukin‐1 beta (IL‐1β) and interleukin‐10 (IL‐10) concentrations were assessed in the blood samples collected from sick and healthy animals. Results No statistically significant difference was noted in serum TNF‐α, IL‐1β and IL‐10 concentrations of the infected cats (p = 0.996, p = 0.160 and p = 0.930, respectively). Serum TGF‐β concentration in the viral infection group was reduced compared to the healthy control (p = 0.001). In contrast, WBC count and IL‐6 and CRP concentrations were increased in the cats with bronchopneumonia, gastrointestinal tract infections and urinary tract infections compared to the healthy control and viral infection groups (p = 0.001, p = 0.001 and p = 0.001, respectively). Conclusion This study revealed significant differences between bacterial and viral infections regarding the fashion of inflammatory responses in cats, and the relevant data will undoubtedly contribute to the management and control of feline infectious diseases, rendering the development of novel therapeutic strategies.

OBJECTIVE: Latent tuberculosis infection (LTBI) screening is strongly recommended in the pre-transplant evaluation of solid organ transplant (SOT) recipients, although it remains inadequate in many transplant centers. We decided to investigate pre-transplant TB risk assessment, LTBI treatment, and registry rates in Turkey. MATERIAL AND METHODS: Adult SOT recipients who underwent tuberculin skin test (TST) and/or interferon-gamma release test (IGRA) from 14 centers between 2015 and 2019 were included in the study. An induration of ≥5 mm on TST and/or probable/positive IGRA (QuantiFERON-TB) was considered positive for LTBI. Demographic features, LTBI screening and treatment, and pre-/post-transplant TB history were recorded from the electronic database of transplantation units across the country and pooled at a single center for a unified database. RESULTS: TST and/or IGRA were performed in 766 (33.8%) of 2266 screened patients most of whom were kidney transplant recipients (n = 485, 63.4%). LTBI screening test was positive in 359 (46.9%) patients, and isoniazid was given to 203 (56.5%) patients. Of the patients treated for LTBI, 112 (55.2%) were registered in the national registry, and 82 (73.2%) completed the treatment. Tuberculosis developed in 6 (1.06%) of 563 patients who were not offered LTBI treatment. CONCLUSION: We determined that overall, only one-third of SOT recipients in our country were evaluated in terms of TB risk, only 1 of the 2 SOT recipients with LTBI received treatment, and half were registered. Therefore, we want to emphasize the critical importance of pretransplant TB risk stratification and registration, guided by revised national guidelines.

The rapid growth of the massive smart Internet of Things (IoT) with mobile connections, the enhanced Mobile Broadband (eMBB) and the high demand for building a connected and intelligent world increase the probability of mobile satellite systems to be a major network in providing internet communication services in the future. Currently, the mobile satellite systems are envisioned as a significant solution for providing mobile services in different settings and for various vital objectives. These satellite systems have special qualities in each of these situations, including extensive coverage area, robustness, and ability to broadcast/multicast. The Low Earth Orbit (LEO) systems are the best promising technology that will offer internet services among the different types of satellite systems. However, the LEO systems are still experiencing certain restrictions with respect to connectivity, stability, and mobility support; because of which communication becomes unreliable. Therefore, the aim of this paper is to broadly explain the LEO systems and services in a comprehensive manner using a variety of perspectives. The paper focus is on key aspects of mobile internet based on satellite systems. This paper illustrates the integration of LEO systems with fifth and sixth generations of mobile cellular networks as well as with the IoT networks. It discusses the problems being faced as a result of the integration between cellular with IoT and satellite systems by comprehending which future research plans are outlined.

BackgroundVirtual reality is no longer created solely with design graphics. Real life 360° videos created with special shooting techniques are now offered as open access to users’ experience. As a result, this widespread use of VR systems has increased the incidence of visually induced motion sickness.ObjectiveIn the present study, we aimed to investigate impact of brightness-contrast levels of real-life 360° videos on susceptibility to visually induced motion sickness during immersive virtual reality headset viewing.MethodsIn this study, 360° real-world day and night driving videos publicly available on YouTube VR were used as stimuli. Stimuli were presented in 2-min segments. Electrodermal activity was recorded throughout the stimulus presentation, and SSQ was administered immediately afterward.ResultsNo significant difference was found between the experiments in terms of dermal activity. There is a statistically significant difference in total SSQ scores and in symptoms of fatigue, eye strain, head fullness, blurred vision, and dizziness (p < 0.005; p < 0.01) after then the night video.ConclusionThe present study examined the likely impact of brightness and contrast levels in VR environments on VIMS provocation.

This phenomenological study aimed to explore a group of classroom teachers' experiences with homework assignment in teaching mathematics. The participants of the study were 27 classroom teachers who were selected using the criterion-based sampling technique. The research data were collected with a semi-structured interview form developed by the researchers and subjected to interpretive phenomenological analysis. The results showed that the teachers plan the homework they would assign the evening before the class and use resources available on the internet while planning it. It was also revealed that they assign mathematics homework for various purposes such as ensuring comprehension of the subjects, knowledge retention and use of the learned subjects in daily life. They reported that they check and provide feedback on the assigned homework during the classes that the assigned homework is sometimes done by the family members of the students and that both preparing and checking the homework take an extensive amount of time. As a solution to these problems, they suggested communicating and negotiating with the parents, getting support from school counselors and reducing the number of the themes in the primary mathematics curriculum.

This study investigated experiences of primary school teachers with inclusion students in the context of teaching mathematics. In the study the phenomenology design, which is one of the qualitative research designs, was used. The participants were determined by criterion-based sampling method. The participants of the study consisted of 21 primary school teachers with inclusion students. Research data were collected by a semi-structured interview form developed by the researchers. Content analysis method was used for data analysis. The study found that the participants mostly used rough evaluation forms in order to determine the gains when preparing IEP. In addition, most of the participants stated that they needed help in preparing IEP and they received the most of the help from school counselors. The participants stated that they mostly used demonstration, teaching with play and drama methods and that they could practice with inclusion students only during breaks, during social activities times or in the hours in the support training room apart from mathematic class. Moreover, it was found that most of the participants measured verbally gains of the inclusion students by question and answer method. It was also concluded that inadequacy of the time was the most common problem they encountered in the process of learning-teaching and assessment for the mathematics class.

Abstract Background Cerebrotendinous Xanthomatosis (CTX) is a rare autosomal recessive lipid storage disorder caused by loss of function variants in the CYP27A1 gene which encodes sterol 27-hydroxylase, on chromosome 2q35. Although the symptoms begin commonly in infancy, CTX diagnosis is often delayed. The aim of this study is to review the orthopedic findings of the disease by providing an overview of the clinical features of the disease. It is to raise awareness of this condition for which early diagnosis and treatment are important. Methods We retrospectively evaluated the clinical, laboratory, radiological, and genetic findings of eight patients from four families who were admitted to our Orthopedics and Traumatology Department between 2017 and 2022 due to bilateral Achilles tendon xanthomas, were found to have high cholestanol and CYP27A1 gene mutations. Results The mean age of patients was 37, and five of them were male. The mean age at the onset of symptoms was 9.25 years. The mean age of initial diagnosis was 33.75 years. Between symptom onset and clinical diagnosis, an average delay of 24.5 years was observed. All patients had bilateral Achilles tendon xanthoma. Notably, a novel variant (c.670_671delAA) in CYP27A1 gene was identified in three patients who also presented with peripheral neuropathy and bilateral pes cavus. One patient had osteoporosis and four patients had osteopenia. Five patients had a history of bilateral cataracts. Furthermore, three of the patients had early-onset chronic diarrhea and three of the patients had ataxia. Two of the patients had epilepsy and seven of the patients had behavior-personality disorder. All patients had low intelligence, but none of them had cardiac disease. Conclusion We present the diagnostic process and clinical features which the largest CTX case series ever reported from single orthopedic clinic. We suggest that patients with normal cholesterol levels presenting with xanthoma being genetically analyzed by testing at their serum cholestanol level, and that all siblings of patients diagnosed with CTX be examined.

Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing discrete cell types, revealing the proportion of cell types inside each spot. To identify continuous variation of the transcriptome within cells of the same type, we developed Deconvolution of Spatial Transcriptomics profiles using Variational Inference (DestVI). Using simulations, we demonstrate that DestVI outperforms existing methods for estimating gene expression for every cell type inside every spot. Applied to a study of infected lymph nodes and of a mouse tumor model, DestVI provides high-resolution, accurate spatial characterization of the cellular organization of these tissues and identifies cell-type-specific changes in gene expression between different tissue regions or between conditions. DestVI is available as part of the open-source software package scvi-tools ( https://scvi-tools.org ).

Abstract We assessed the potential retinal microcirculation alterations for postoperative visual recovery in sellar/paraseller tumor patients with Optical Coherence Tomography Angiography (OCT-A). Two hundred ten eyes with sellar/parasellar tumor for which preoperative and postoperative (3 months) MRI Scans, Visual Acuity Test, Optical Coherence Tomography (OCT), OCT-A and, Visual Field Test data were available, besides 92 healthy eyes were evaluated. In the preoperative phase, significant reductions were observed in retinal vascular densities in various regions, including the Superficial Retinal Capillary Plexus (SRCP) (whole: p

Bu araştırma, yerel gıda ürünlerine yönelik tüketicilerin ödeme yapma istekliliğini etkileyen faktörleri kapsamlı bir şekilde incelemektedir. Çalışma, özellikle fiyat bilinci, ürün ilgilenimi ve fiyat/kalite çıkarımı gibi kritik değişkenleri ele almakta ve bu faktörlerin yerel gıdalara olan talep üzerindeki etkilerini değerlendirmektedir. Erzurum ilinde gerçekleştirilen anket çalışması, 410 katılımcı ile yürütülmüş olup, katılımcılara yerel gıdaların seçiminde bu değişkenlerin etkilerini sorgulayan detaylı sorular yöneltilmiştir. Araştırma sonuçları, fiyat bilinci ve fiyat/kalite çıkarımının yanı sıra ürün ilgileniminin de tüketicilerin yerel gıdalara yönelik ödeme istekliliğinde önemli bir rol oynadığını göstermektedir. Bu bulgular, yerel gıda pazarlamasının stratejilerini belirlerken ve tüketicilere yönelik bilgilendirme kampanyalarını tasarlarken dikkate alınmalıdır. Ayrıca, çalışma, yerel ürünlerin çevreye olan etkilerinin ve çevre dostu üretim pratiklerinin tüketici tercihlerine etkisini de göz önünde bulundurmuştur. Sonuç olarak, tüketicilere yerel ürünler hakkında yeterli bilgi sağlanması ve çevreye zarar vermeyen ürünlerin üretiminin artırılması yoluyla tüketicilerin yerel ürünlere yönelik ödeme istekliliğinin artırılması önerilmektedir. Bu yaklaşım, yerel ekonomilere destek olmanın yanı sıra sürdürülebilir tüketim pratiklerini teşvik etmektedir.

The phenomenon of “digital religion” has emerged as a research field over the past quarter century as religious experiences integrate into the digital sphere. Within this field, researchers have adopted various theoretical frameworks and empirical methodologies to illuminate the complex dynamics that arise from the interaction between digital culture and religion. However, the existing literature on this topic is characterized by fragmentation, which makes a comprehensive understanding of its trajectory difficult. This fragmentation is particularly noticeable in the absence of a coherent narrative that outlines the field’s development. This study aims to provide a scholarly framework for understanding the trajectory of Digital Religion Studies (DRSs), encompassing successive waves of academic research, theoretical paradigms, and thematic foci. This study provides a qualitative assessment of existing literature on the relationship between digital culture and religion through a comprehensive review. A thorough literature review reveals that research in the field of digital religion can be classified into four distinct phases: descriptive, categorical, theoretical, and integrative. The prominent theoretical frameworks that have emerged media ecology, mediation, mediatization, religious-social shaping of technology (RSST), and hypermediation. Finally, the thematic categorization of research primarily revolves around topics, such as rituals, authenticity, identity, community, authority, and embodiment.

Yarı iletken devre elemanı üretim teknolojilerinde gerçekleşen gelişimler, bu elemanların üzerinde yer aldığı yonga plakası üretim süreçlerini daha karmaşık ve hassas hale getirmektedir. Üretim ile ilişkili çevresel koşullar, malzeme kalitesi gibi çeşitli faktörler, yonga plakası üzerinde kusursuz olarak nitelendirilebilecek alan miktarını yani verimi doğrudan etkilemektedir. Bir yarı iletken yonga plakası üzerindeki kusurlu alanların oluşturabileceği desenler standart olarak tanımlanmış durumdadır. İncelenen bir yonga plakası yüzeyindeki kusurların bu tanımlara göre sınıflandırılması, üretim süreçlerinde oluşan problemlerin kaynaklarının belirlenmesi için önemli bilgiler sağlayabilmektedir. Bu çalışmada, mevcut uygulamalarda her yarı iletken yonga levhası için insan operatörler tarafından yapılan kusur deseni sınıflandırma işlemini belirli bir güvenlik değerine kadar otomatik olarak gerçekleştiren ve böylece toplam işlem süresini azaltan bir karar destek yöntemi geliştirilmiştir. Bu yöntemde temel sınıflandırma işlemi için derin öğrenme metotlarıyla eğitilmiş bir ağ yapısı kullanılmaktadır. İstenilen güvenlik değerinin üzerinde bir doğrulukla sınıflandırılan yonga plakaları doğru sınıflandırılmış olarak kabul edilmekte, bu değerin altında kalan yonga plakaları ise insan operatörün incelemesine tabi tutulmaktadır. Yöntemin kullanılması ile; ortalama büyüklükte bir yonga plakası üretim tesisi için geçerli günlük toplam inceleme süresi, tüm incelemenin insan operatör tarafından yapıldığı durumda geçerli sürenin %10’una indirilebilmekte, ayrıca insan operatörün yapabileceği öznel değerlendirmelerin de önüne geçilebilmektedir.

Load balancing is a major challenge in heterogeneous networks (HetNets) consisting of 5G and 6G ultra-dense small cells with long-term evaluation advanced (LTE-A) networks. A key factor in achieving efficient load balancing during user mobility is creating appropriate optimisation for handover control parameters (HCP). This paper proposes a coordinated load balancing algorithm for LTE-A/fifth generation (5G) HetNets. The algorithm automatically optimises HCP settings for a given user based on three bounded functions (the signal-to-interference-plus-noise ratio (SINR) of the user equipment (UE), the number of physical resource blocks (PRBs) per UE and the UE’s speed) as well as their automatic weight levels. A two-step target cell determination strategy is implemented according to the cell load level and RSRP criteria, ensuring that users are handed over to low-loaded target cells. A new HO procedure that considers the pilot signal power is also proposed, which includes the number of PRBs per UE and the RSRP. Cells with freer PRBs are prioritised in user association to provide load balance and enhanced throughput. The proposed load balancing algorithm is compared with five other load balancing algorithms selected from the literature. The simulation results reveal that under various mobile speed scenarios, the proposed load balancing scheme enhances network performance in terms of load level, throughput, spectral efficiency and call dropping ratio (CDR).

Life without interaction and communication cannot exist, neither without choices. In communication, firstly every source and then every message has a value; likewise, every choice humans are to make each and every second is a result of an e'value'tion. Because there exists no moment or field without 'value' and e'value'tion, they end up in a numerous value exchanges and e'value'tion processes occurring in numerous ways. Under all disagreements and conflicts lies the failure to perform a proper analysis of the value to be passed across in the exchange of value before us in particular and then this limitless value exchange process and the values governing our choices and the consequences thereof for ourselves and people around us. The primary concern of the present paper is to discuss the conceptualization of 'value literacy' as a learning model allowing for an analysis of this kind. This is an analytical study based on an exhaustive review of the literature related to literacy, values, and character education. By allowing for the construction of relationships with an elevated awareness and sensitivity concerning the values underlying interpersonal relationships, 'Value literacy' has a notable potential for the resolution of conflicts in these relationships and reasoning thereof worthy of human dignity and for its capacity to complete literacy types such as values education, character education, personality development, emotion management, ethics literacy.

The purpose of this study is, by using meta-analysis method, to examine whether there is a significant difference in the effect size of the Technological Pedagogical Content Knowledge (TPACK) according to gender. For this purpose, it was examined whether both Technological Pedagogical Content Knowledge and the knowledge types related to TPACK shows a statistically significant difference by gender. A total of 29 studies conducted both in Turkey and abroad between 2007 and 2017 and meet the inclusion criteria were synthesized by the meta-analysis method. "Cohen's d" was chosen as the effect size index in order to examine the knowledge types related to TPACK by gender. Since the studies were obtained from the literature, primary studies were combined according to the Random Effects Model. It was concluded as a result of the analysis that there is a significant difference between the knowledge types about TPACK by gender, and in the sub-group analysis, technology knowledge, technological pedagogical knowledge and technological pedagogical content knowledge have a significant effect size in favor of male; on the other hand, content knowledge, pedagogical content knowledge, and technological content knowledge have an insignificant effect size in favor of male and pedagogical knowledge has an insignificant effect size in favor of female.

Pediatric femur diaphyseal fractures are seen after serious traumas such as traffic accidents and fall from height. Although treatment algorithms are made according to age groups, treatment planning is individualized according to the patient and the degree of injury. In our study, we evaluated functional outcomes of pediatric femur fractures treated with titanium elastic nail (TEN). This is a retrospective study including pediatric femoral diaphyseal fractures treated with TEN between 2012 and 2021. Open fractures, pathological fractures, distal fractures involving the femoral condyles, and proximal fractures involving the trochanteric region were not included in our study. Thirty-three femoral diaphyseal fractures with complete data were identified as stable and unstable in length, and functional results and post-treatment complications were recorded by performing TEN in fracture fixation. Clinical functional results were analyzed with Flynn criteria. Thirty-three femoral fractures of 29 patients were included. Eighteen (62.1%) of our patients were boys and 11 (37.9%) were girls. The mean age was 6.51 years (4-13 years). The most common injury mechanism was traffic accidents seen in 19 patients (24.51%). The mean follow-up period after surgery was 26.6 (6-90 months) months. Stable fractures (transverse and short oblique) were found in 26 cases (78.7%) and unstable fractures (spiral/long oblique and comminuted) in 7 cases (21.7%). According to Flynn criteria, excellent results were found in 20 fractures (60.6%) and satisfactory results in 10 fractures (30.3%) and 3 poor (%9.09). There was no significant difference between stable and unstable fractures in terms of functional outcome (p=0.12). Femoral diaphyseal fractures are serious injuries that require surgery. Regardless of the type of fracture, stable or unstable in length, the results of treatment with TEN are very successful. Major complications such as nonunion and re-fracture are rarely seen with this treatment. [Med-Science 2023; 12(3.000): 746-52]

Abstract Background Herein, we analyzed the efficacy of main antibiotic therapy regimens in the treatment of healthcare-associated meningitis (HCAM). Materials/methods This retrospective cohort study was conducted in 18 tertiary-care academic hospitals Turkey, India, Egypt and Romania. We extracted data and outcomes of all patients with post-neurosurgical meningitis cases fulfilling the study inclusion criteria and treated with empirical therapy between December 2006-September 2018. Results Twenty patients in the cefepime + vancomycin-(CV) group, 31 patients in the ceftazidime + vancomycin-(CFV) group, and 119 patients in the meropenem + vancomycin-(MV) group met the inclusion criteria. The MV subgroup had a significantly higher mean Glasgow Coma Score, a higher rate of admission to the intensive care unit within the previous month, and a higher rate of antibiot herapy within the previous month before the meningitis episode (p 0.05) among the three cohorts. No regimen was effective against carbapenem-resistant bacteria, and vancomycin resulted in an EOT clinical success rate of 60.6% in the methicillin-resistant staphylococci or ampicillin-resistant enterococci subgroup (n = 34). Conclusions Our study showed no significant difference in terms of clinical success and mortality among the three treatment options. All regimens were ineffective against carbapenem-resistant bacteria. Vancomycin was unsuccessful in approximately 40% of cases involving methicillin-resistant staphylococci or ampicillin-resistant enterococci.

Abstract Background Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constraints, most notably a limited number of expressed genes per cell, which leads to suboptimal clustering and cell type identification. Results Here, we present DISCERN, a novel deep generative network that precisely reconstructs missing single-cell gene expression using a reference dataset. DISCERN outperforms competing algorithms in expression inference resulting in greatly improved cell clustering, cell type and activity detection, and insights into the cellular regulation of disease. We show that DISCERN is robust against differences between batches and is able to keep biological differences between batches, which is a common problem for imputation and batch correction algorithms. We use DISCERN to detect two unseen COVID-19-associated T cell types, cytotoxic CD4+ and CD8+ Tc2 T helper cells, with a potential role in adverse disease outcome. We utilize T cell fraction information of patient blood to classify mild or severe COVID-19 with an AUROC of 80% that can serve as a biomarker of disease stage. DISCERN can be easily integrated into existing single-cell sequencing workflow. Conclusions Thus, DISCERN is a flexible tool for reconstructing missing single-cell gene expression using a reference dataset and can easily be applied to a variety of data sets yielding novel insights, e.g., into disease mechanisms.

Background: Premenstrual syndrome (PMS) is the combination of physical, behavioral, and psychological symptoms that characterize the week leading up to menstruation, and it can last for a few days. This study aimed to investigate irregular PMS, eating attitude behavior, and body mass index values among university students. Methods: The study sample consisted of 140 Artvin Coruh University students studying Nutrition and Dietetics. The study includes questions from three separate sections. The first section contains a sociodemographic characteristic form, the second section consists of the Premenstrual Syndrome Scale (PMSS), and the third section includes the 26-item Eating Attitude Test (EAT-26). Results: In this study, the mean total score for PMSS was 135 ± 38.3, and the mean total score for EAT-26 was 17.0 ± 10.8. Individuals with irregular sleep patterns experienced more severe PMS (p < 0.01) and a shorter daily sleep duration (p < 0.05). Conclusions: High percentages of nutrition and dietetics students in our study experienced PMS, and the incidence of eating disorders was low. The relationship between PMS and EAT-26 must be understood for the health and well-being of university students.