Evaluating export vulnerability through import demand elasticity in carbon border adjustment contexts: a focus on Türkiye.

Import demand elasticity (IDE) is a critical metric often employed to guide government decisions regarding tariffs and non-tariff barriers, ensuring that foreign trade remains uninterrupted while optimizing tax revenues. This study, however, leverages IDE to assess the impact of the carbon border adjustment mechanism (CBAM) on Türkiye's decarbonization process. Specifically, the research analyzed the total export quantities and unit prices of four product groups-cement, fertilizers, and inorganic chemicals, steel and iron, and aluminum-exported from Türkiye to the European Union-27 countries under the CBAM framework between 2002 and 2021.

Occurrence and Molecular Characterization of Cryptosporidium spp. and Giardia duodenalis in Water Buffaloes (Bubalis bubalis) From Türkiye.

Purpose: Cryptosporidium spp. and Giardia duodenalis are zoonotic protozoan parasites that are widely seen in domestic and wild animals worldwide. While these pathogens, which affect the digestive system of the hosts, cause high economic losses in animal breeding, they are also considered an important public health problem.

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models.

This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such as the Convolutional Block Attention Module (CBAM) and Non-Local Attention, with advanced encoder architectures, including ResNet, DenseNet, and EfficientNet. These attention mechanisms enable the model to focus more effectively on relevant tumor areas, resulting in significant performance improvements.

Use of inpatient palliative care in metastatic testicular cancer patients undergoing critical care therapy: insights from the national inpatient sample.

To test for rates of inpatient palliative care (IPC) in metastatic testicular cancer patients receiving critical care therapy (CCT). Within the Nationwide Inpatient Sample (NIS) database (2008-2019), we tabulated IPC rates in metastatic testicular cancer patients receiving CCT, namely invasive mechanical ventilation (IMV), percutaneous endoscopic gastrostomy tube (PEG), dialysis for acute kidney failure (AKF), total parenteral nutrition (TPN) or tracheostomy. Univariable and multivariable logistic regression models addressing IPC were fitted.

Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries.

This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation of nanotechnology, through the addition of nanoparticles to conventional fuels, improves fuel atomization, combustion efficiency, and emission control. Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions.

A survey of Australian dairy farmers' attitudes to their business, its challenges and transitioning to alternative enterprises.

Dairy farmers are grappling with serious business challenges, including rising operational costs, labour shortages, unstable milk prices, changing consumer preferences, long hours with minimal downtime and unstable weather patterns due to climate change impacts. Using a telephone-based representative survey and interviews with 147 Australian dairy farmers conducted in 2023, we employed a mixed-method approach combining quantitative and qualitative analysis to determine the challenges and primary concerns of the participants, as well as to explore potential solutions. Four key variables that contributed significantly to a binary logistic regression model of transition intentions were identified, namely: level of satisfaction with dairy farming, openness to exploring other agricultural alternatives to dairy farming, preference to receive financial and/or other support to remain in the industry and preference to receive financial and/or other support to transition into a different form of farming or business.

Paratesticular/inguinal SMARCB1/INI1 deficient carcinomas with yolk sac tumour-like differentiation are aggressive somatic malignancies.

Aims: Extragonadal yolk sac tumour (YST) is rare, and may present a diagnostic challenge. YST differentiation was recently reported in some somatically derived tumours in the sinonasal location and in the female genital tract, together with a SMARCB1/INI1 loss. We report two paratesticular/inguinal tumours with striking morphological and immunohistochemical similarities with YST, further expanding the spectrum of extragonadal tumours with YST-like morphology and SMARCB1/INI1 loss.

Biomechanical Analysis and Solution Suggestions of Screw Replacement Scenarios in Femoral Neck Fracture Surgeries: Finite Element Method.

Objective: Despite several surgical options, there has yet to be a consensus on the best treatment for femoral neck fracture (FNF) due to higher complication rates compared to other bone fractures. This study aims to examine the possible consequences and solution suggestions of changing screws during surgery for various reasons in FNF surgical treatment from a biomechanical perspective.

Method: FNF and treatment materials were analyzed biomechanically using a package program based on the finite element method (FEM).

The impact of the trigger day progesterone, luteinizing hormone and their interaction on live birth rates in GnRH antagonist cycles.

Aim: This study aims to assess the impacts of various trigger day progesterone (P) and luteinizing hormone (LH) levels on live birth rates (LBRs) in fresh in vitro fertilization (IVF) cycles, considering their elevation from stimulation and premature luteinization.

Methods: This retrospective cohort study included the first ovarian stimulation cycles with GnRH antagonist protocol of 1253 patients who underwent intracytoplasmic sperm injection and fresh embryo transfer at a tertiary clinic's IVF center between 2010 and 2016. Participants were divided into four groups based on trigger day serum P and LH levels, using the 90th percentile thresholds for P (1.

Renal scarring in children with febrile urinary tract infection.

Objective: The authors aim to evaluate characteristics of children with fUTI and results of renal bladder ultrasonography (RBUS) and late dimercaptosuccinicacid (DMSA) scan.

Methods: This study is designed as retrospective analysis of RBUS and DMSA reports of children with fUTI. Age, gender, number of fUTI, presence of constipation and vesicouretheral reflux (VUR) were recorded.

Current status, opportunities, and challenges of exosomes in diagnosis and treatment of osteoarthritis.

Osteoarthritis (OA) is a progressive joint disease that is a frequent reason for pain and physical dysfunction in adults, with enormous social and economic burden. Although ongoing scientific efforts in recent years have made considerable progress towards understanding of the disease's molecular mechanism, the pathogenesis of OA is still not fully known, and its clinical challenge remains. Thus, elucidating molecular events underlying the initiation and progression of OA is crucial for developing novel diagnostic and therapeutic approaches that could facilitate effective clinical management of the illness.

Musical pitch and timbre perception in stuttering children.

Objectives: This study aims to evaluate musical pitch and timbre perception in children who stutter and compare the results with typically developing children.

Methods: A total of 50 participants were included in the study, consisting of 25 children with stuttering (mean age = 10.06 years; range 6-17 years) and 25 typically developing children (mean age = 10.

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potential labor concerns. This study aims to determine the artificial intelligence anxiety levels of nursing students and examine whether there is a relationship with their self-efficacy levels.

Testing Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients.

The global population is aging, and there is a concomitant increase in surgery for the elderly. In geriatric patients, where postoperative pain assessment is difficult, technological tools that perform automatic pain assessment are needed to alleviate the workload of nurses and to accurately assess patients' pain. This study offers a more reliable and rapid assessment tool for assessing the pain of elderly patients undergoing surgery.

Clade-1 Vap virulence proteins of Rhodococcus equi are associated with the cell surface and support intracellular growth in macrophages.

The multi-host pathogen Rhodococcus equi is a parasite of macrophages preventing maturation of the phagolysosome, thus creating a hospitable environment supporting intracellular growth. Virulent R. equi isolated from foals, pigs and cattle harbor a host-specific virulence plasmid, pVAPA, pVAPB and pVAPN respectively, which encode a family of 17 Vap proteins belonging to seven monophyletic clades.

Evaluation of Gamma Index Analysis for Detecting Errors in Patient-specific Quality Assurance in Intensity Modulated Radiotherapy.

Quality assurance practices performed before treatment are believed to identify various potential errors. In this study, 2-dimensional (2D) dosimetric results were analyzed by making some intentional mistakes in six different treatment plans. In this way, the detectability of errors was investigated.

A retrospective comparative study of the clinical and radiological outcomes of intertrochanteric fractures treated with proximal femoral nail antirotation (PFN-A) and INTERTAN nail.

Background: This study aimed to analyze the files of patients treated using PFN-A or INTERTAN intramedullary nails to reveal additional superiorities or disadvantageous factors for selecting the better intramedullary fixation method in patients presenting with intertrochanteric femur fractures.

Methods: In this retrospective study, the files of the patients who were operated on for intertrochanteric femur fractures using intramedullary fixation methods between September 2010 and June 2015 in the Orthopedics and Traumatology Clinic, Çukurova University Faculty of Medicine, were reviewed. The data including age, gender, chronic diseases, causes of fractures, fracture classification based on Arbeitsgemeinschaft für Osteosynthesefragen (AO), the nail type (long or short), the interval between trauma and surgery, duration of anesthesia and surgery, hospitalization duration, amount of blood transfusion, the Tip-Apex Distance (TAD) in postoperative radiographs, functional outcomes according to Harris Hip Score (HHS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), postoperative complications, need for revision, and mortality was noted.

Identity, language and communication concerns of subcultures: The case of Antalya Cretans.

In today's world, there is almost no homogeneous culture without interaction, and multiculturalism has become the most important phenomenon for all societies. Therefore, this cultural diversity, consisting of differences in culture, language, identity, religion, etc. has also brought along many problems.

Examining Mindfulness's Mediating Role in the Relationship Between Infidelity Tendency and Divorce Anxiety.

This study explores the role of mindfulness in marriage as a potential mediator in the relationship between infidelity tendencies and divorce anxiety among married individuals. Employing a sample of 415 married individuals, the research utilized a correlational model to examine the predictive capacity of marital mindfulness. The assessment involved the Mindfulness in Marriage Scale, Infidelity Tendency Scale, and Divorce Anxiety Scale, supplemented by a demographic information form.

Evaluation of single nucleotide polymorphisms in the human norepinephrine transporter (hNET) gene for structural, functional, and pathogenic significance.

The norepinephrine transporter (NET) is a key regulator of noradrenergic neurotransmission and homeostasis, regulating the norepinephrine levels in the brain and peripheral tissues. hNET is a major target in neuropsychiatric disorders such as major depressive disorder, autonomic dysfunction, and attention deficit hyperactivity disorder (ADHD). The human norepinephrine transporter gene (, ) contains 504 missense single nucleotide polymorphisms (SNPs).

Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study.

Objectives: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patients aged 5-12 years.

Materials And Methods: Pediatric patients' digital periapical radiographic images were collected to create a unique dataset.