bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proposing New-Specific BMI Cutoff Points for Diagnosing Obesity in Older Hispanic Adults: Insights from a National Representative Sample
Authors: Gonzalez-Arellanes Rogelio , Esparza-Hurtado Natalia , Martagon Alexandro , Hart-Vazquez Delia , Rodriguez-Tadeo Alejandra 
Published: October 2023

Abstract

Background: Current body mass index (BMI) cutoff points (≥30 kg/m2) underestimate obesity prevalence in older adults.
Objective: To propose new BMI cutoff points for identifying obesity in older Hispanic adults.
Subjects/Methods: In this study, new internally derived (ID) BMI cutoff points for obesity in older Hispanic adults were developed by analyzing data from the National Health and Nutrition Survey of 2018-19 from Mexico. To evaluate the performance/validation of these newly proposed cutoff points, data from the "Study of the 1,000," conducted in Northern Mexico, were utilized. Sensitivity, and negative predictive value (NPV) were assessed using receiver operating characteristic analysis, with obesity defined by fat mass index (FMI; >9.0 kg/m2 for men and >13.0 kg/m2 for women) as the reference method.
Results: The newly proposed ID BMI cutoff points were ≥27.2 kg/m2 for men and 28.8 kg/m2 for women and demonstrated high sensitivity (≥98.0%) and NPV (≥99.0%) in both sexes. Furthermore, the prevalence of obesity estimated by the new BMI cutoff points was comparable to that estimated by the FMI.
Conclusion: The newly proposed BMI cutoff points provide a more accurate identification of obesity in older Hispanic adults. These findings have implications for improving obesity diagnosis and management in this population.
Electrochemical model of anodic dissolution for magnesium nanoparticles
Authors: Li Xiuhan , Rong Ju , Bu Jiaojiao , Sui Yudong , Zhang Yannan , Wei Yan 
Published: October 2023

Abstract
The frontiers of material corrosion research are transitioning from macroscopic corrosion to the micro or even nanoscale. However, nanomaterials contain a large number of simulated atoms, which brings great difficulties to the research of corrosion mechanisms and material development. Therefore, under the framework of lattice dynamics, combined with nano-thermodynamic theory, the electrochemical Butler-Volmer (BV) equation is developed to simplify the investigation of the anodic dissolution behavior of nanomaterials. The results show that the difference between the lattice parameters optimized using the General Utility Lattice Program (GULP) and the Cambridge Sequential Total Energy Package (CASTEP) results is 0.01 Å, and the variation in cohesion and surface energies is only 0.001 eV and 0.005 eV/Å2. Meanwhile, the anodic dissolution rates of Magnesium (Mg) at the (0001), (10一10), and (11一20) crystal planes calculated from the BV model based on lattice dynamics are in agreement with the results derived from first principles. During the active dissolution zone, the corrosion potential increases from − 7.53 V to -5.44 V, and the corrosion current density decreases from 47.48 A/cm2 to 29.97 A/cm2 as the Mg nanoparticles size increases from 1 nm to 6 nm. The improved model quantifies the relationship between surface properties and corrosion behavior through the size effect of nanoparticles, which enriches the way of studying electrochemical properties at the nanoscale.
Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid construction
Authors: Alamuti Masoumeh Motevalli , Khalilian Madjid , Bastanfard Azam 
Published: October 2023

Abstract
High-dimensional data, such as microarray data, are commonly utilized to diagnose diseases. In this type of data, each array corresponds to a gene in the chromosomal makeup. As certain diseases are caused by gene mutations, identifying these genes is crucial for accurate disease classification. Feature selection (FS) is a key approach in pattern recognition and bioinformatics to reduce the number of dimensions in a dataset. However, selecting a subset of features that maintain the original data's characteristics without sacrificing classification accuracy is a challenging task, as it is an NP-hard problem. Meta-heuristic optimization methods have shown promising results in addressing this issue. This paper proposes a feature selection approach that employs the Giza Pyramids algorithm with a deep learning kernel to identify informative genes for cancer patient classification. The method is evaluated using five well-known microarray datasets in the field of cancer diagnosis. The experimental results demonstrate that the proposed method outperforms other classification methods in terms of various evaluation criteria. Specifically, the Giza Pyramids algorithm with a deep learning core successfully selects useful genes for cancer patient classification, leading to improved classification accuracy.
Carbon Capture and Microalgae Growth: A Novel Method Using CSP and CCS in Combination with Coal Power
Authors: Sharma Amit , Dubey Nitin 
Published: October 2023

Abstract
This study seeks to investigate the concept of combining coal power, concentrated solar power (CSP), as well as atmospheric pollutant (CO2) capture and storage (CCS) techniques in order to lower the emissions of carbon in electrical networks. Using concentrated solar energy, the study intends to absorb CO2 from the environment and coal-fired power plants and utilise it to grow microalgae in raceway ponds. The paper advocated the generation of microalgae using captured CO2 and included mathematical and experimental studies for carbon capture and sequestration from coal power plants. The study also provided information on the energy incident on the Scheffler dish, the typical steam temperature, the plant's efficiency in capturing carbon, and the total amount of CO2 released over time. The analysis comes to the conclusion that the system has the potential to remove 394200 kg of carbon dioxide annually and that improving the solar concentrator's design and operation can increase both the output and efficiency of the power generation system
Case Report: CYP1A2 Ultra-Rapid Metabolizer in schizophrenia with multiple overdose antipsychotics
Authors: Yang Min , Cao Yudong , Wu Haishan , Zhang Li 
Published: October 2023

Abstract
Background
Liver cytochrome P450 (CYP450) enzymes play an important role in metabolizing antipsychotics (APs) and other drugs. Excessive use of drugs can impair liver function and even other organs, thus causing several adverse effects. In addition, metabolizer types of CYP450 enzymes may influence the therapeutic effects and drug reactions.
Case presentation
In this case, we described a patient with schizophrenia who took overdose of multiple kinds of APs and other herbal preparations together for nearly two years. However, poor treatment effects and minor side effects of APs were presented in this patient. After pharmacogenomic examination, we found this patient was a CYP1A2 ultra-rapid metabolizer.
Conclusions
CYP1A2 ultra-rapid metabolizer may explain part of the poor therapeutic effects and small adverse effects in this case who took multiple kinds of overdose drugs. Many factors may be involved in the rare presentations in this patient.
Method for Calculating the Radiation Pattern of an Antenna Array Based on Magnetic Type Radiators
Authors: Kukharenko Alexander 
Published: October 2023

Abstract
Currently, in order to increase the information capacity of wireless data transmission channels, increasingly higher frequencies are being mastered. However, interest in low-frequency channels has not been lost. Possessing a low information capacity, they have significantly lower propagation losses in free space, thereby providing a greater communication range. Significant difficulties in operating equipment using low-frequency communication channels arise due to the overall dimensions of the receiving and transmitting antenna elements of the electrical type. An alternative solution in this case could be the use of magnetic-type antenna elements, the overall dimensions of which at the same gain value are much smaller. Unfortunately, developing such structures, they require calculation and modeling of their electromagnetic parameters using specialized software packages. The presented algorithm for calculating the radiation pattern of an array consisting of magnetic-type antenna elements makes it possible to calculate the shape of the radiation pattern and the magnetic field strength values in the near zone. The calculations necessary to obtain the result do not require a large amount of computer time and allow you to quickly obtain the necessary results, which significantly reduces the development time of radio engineering devices. The reliability of the results obtained using the algorithm is confirmed by their comparison with well-known ones. However, when implementing and using the algorithm, one should remember the existing limitations and assumptions, some of which can be removed by introducing additional calculation steps and some complication of the calculations.
Impact of Dry Eye Disease on Psychological Symptoms in Chinese Doctoral Students Studying Abroad
Authors: yang gaoyuan , sun lei , wang tao 
Published: October 2023

Abstract
Objectives: To evaluate the impact of dry eye disease (DED) on depression, anxiety, and stress in Chinese doctoral students studying abroad.
Methods: The assessment of DED was conducted through the utilization of the Ocular Surface Disease Index (OSDI), while the evaluation of psychological symptoms relied upon the abbreviated version of the Depression, Anxiety, and Stress Scale (DASS-21) questionnaire.
Results: Of the 185 students, 129 completed the survey, of which 40 (31.0%) were male and 89 (69.0%) were female. The average age was 36.3±7.0 (mean±SD; range, 22–57) years. In the MANOVA, there was a significant impact of DED severity classification on psychological distress (V=0.19, F(9, 375)=2.83, p=0.003). Univariate ANOVAs indicated that DED severity had a significant impact on anxiety F(3, 125)=6.06, p=0.001 and stress F(3, 125)=3.00, p=0.033.
Conclusions: Symptomatic DED was prevalent in Chinese doctoral students studying abroad. The study also revealed a significant association between aging and an elevated risk of DED, along with a noteworthy impact of the severity of dry eye symptoms on the severity of anxiety and stress symptoms.
Deep learning models of RNA base-pairing structures generalize to unseen folds and make accurate zero-shot predictions of base-base interactions of RNA complexes
Authors: Zhou Yaoqi , lang mei , Litfin Thomas , Chen Ke , Zhan Jian 
Published: October 2023

Abstract

The intricate network of RNA-RNA interactions, crucial for orchestrating essential cellular processes like transcriptional and translational regulation, has been unveiling through high-throughput techniques and computational predictions. With the emergence of deep learning methodologies, the question arises: how do these cutting-edge techniques for base-pairing prediction compare to traditional free-energy-based approaches, particularly when applied to the challenging domain of interaction prediction via chain concatenation? In this study, we employ base pairs derived from three-dimensional RNA complex structures as the gold standard benchmark to assess the performance of 22 different methods, including recently developed deep learning models. Our results demonstrate that the deep-learning-based methods, SPOT-RNA and coevolution-information-powered SPOT-RNA2, can be generalized to previously unseen RNA structures and are capable of making accurate zero-shot predictions of RNA-RNA interactions. The finding underscores the potential of deep learning as a robust tool for advancing our understanding of these complex molecular interactions.
Biporous silica nanostructure-induced nanovortex in a microfluidic channel for nucleic acid enrichment, isolation, and, PCR-free detection
Authors: Lee Joonseok , Jeon Eunyoung , Koo Bonhan , Kim Suyeon , Kim Jieun , Yu Yeonuk , Jang Hyowon , Lee Minju , Kim Sung-Han , Kang Taejoon , Kim Sang Kyung , Kwak Rhokyun , Shin Yong 
Published: October 2023

Abstract
Efficient pathogen enrichment and nucleic acid (NA) isolation are critical for accurate and sensitive diagnosis of infectious diseases, especially those with low pathogen levels. Our study introduces a biporous silica nanofilms-embedded sample preparation chip (BSNFs-chip) for pathogen and NA enrichment/isolation. The BSNFs-chip features unique biporous nanostructures comprising large and small pore layers. Computational simulations confirm that these nanostructures enhance the surface area and promote the formation of nanovortex, resulting in improved capture efficiency. Notably, the BSNFs-chip demonstrates a 100-fold lower limit of detection (LOD) compared to conventional methods used for NA detection. Clinical validations using patient samples corroborate the superior sensitivity of the BSNFs-chip when combined with the luminescence resonance energy transfer (LRET) assay. The enhanced sample preparation efficiency of the BSNFs-chip, along with the facile and straightforward synthesis of the biporous nanostructures, offers a promising solution for polymer chain reaction (PCR)-free detection of NAs.
Factors related to participation decision-making in emergency surgery patients
Authors: Mohammadi Roya , Hanifi Nasrin , Bahraminejad Nasrin 
Published: October 2023

Abstract
Background Patient’s shared decision-making (SDM) is an ethical standard for respecting patient autonomy.Objectives This study aimed to investigate the level of shared decision-making (SDM) for emergency surgery and its related factors in hospitals affiliated with the Zanjan University of Medical Sciences (Iran).Methods The study has a cross-sectional design. The study was performed on 306 patients candidates for emergency surgery in 2020. The research instruments included a 9-item Shared Decision-Making Questionnaire (SDM-Q-9) and an SDM-related factors questionnaire for surgery.Results The results showed that more than 50% of patients did not participate in the choice of emergency surgery. Among the related factors, the SDM level of the family members, the patient's marital status, and systolic blood pressure were the main predictors of the patient’s SDM for surgery (P-value < 0.05).Conclusions The emergency conditions of patients and the high workload of staff reduced participation in the decision-making of patients and their family members.
Pain Assessment in Animals: human experts, make way for AI!
Authors: Zamansky Anna , Feighelstein Marcelo , Luna Stelio , Silva Nuno , Trindade Pedro , Linden Dirk van der , Zamansky Anna 
Published: October 2023

Abstract
This study explores the question whether Artificial Intelligence (AI) can outperform human experts in animal pain recognition using sheep as a case study. It uses a dataset of N=48 sheep undergoing surgery with video recordings taken before (no pain) and after (pain) surgery. Four veterinary experts used two types of pain scoring scales: the sheep facial expression scale (SFPES) and the Unesp-Botucatu composite behavioral scale (USAPS), which is the `golden standard' in sheep pain assessment. The developed AI pipeline based on CLIP encoder significantly outperformed human facial scoring (AUC difference = 0.115, p<0.001) when having access to the same visual information (front and lateral face images). It further effectively equaled human USAPS behavioral scoring (AUC difference= 0.027, p=0.163), but the small improvement was not statistically significant.
A study of Causes of Abdominal Pain Among Patients Admitted to Damascus Hospital Between 2020-2023
Authors: Almohareb Abdoulrahmman Mohareb , Zoubi Mohammad Khaled Al- , Fawares Maamoun Ayman AL- , Ali Ayman Fahd 
Published: October 2023

Abstract

Objective
Our study aims to look into the causes of abdominal pain in patients admitted to Damascus Hospital between the years 2020–2023.
Methods and materials:
A cross-sectional study to determine the prevalence, and causes of abdominal pain among patients visiting Damascus Hospital between the years 2020 and 2023. Information was collected according to a research form to set the inclusion and exclusion criteria. Clinical history information and laboratory results were recorded, and the Spss-28 program was used to analyze the data.
Results
The study included 105 male and female patients who had abdominal pain. The most common age groups were (35–54 years, over 65 years), (29.5%, 21.9%, respectively) (49.5% males, 50.5% females). The most common medical history was high blood pressure. Arterial artery (17.1%), most common surgical history (liver cyst and lumbar disc), (5.7%, 5.7%), high C-reactive protein values (16.2%), high sedimentation rate above 20 (56.2%), high leukocytes. (51.4%), the presence of acute/chronic pain (83.8%/16.2%), the presence of moderate intensity pain is the most common (60%), the most common localization of pain is in the right iliac fossa, the most common occurrence is in the back (7.6%), stabbing pain is The most common is (37.1%), progressive pain is the most common (67.6%), episodic pain is the most common (61%), the presence of nausea and vomiting is the most common (58.1%), analgesics are the most common means of relieving pain (14.3%), and eating is the most common behavior. It causes aggravation of pain (28.6%), the most common cause of abdominal pain (appendicitis, cholecystitis, duct stones), (21%, 15.2%, 6.7%, respectively).
Conclusion
There are many causes of abdominal pain, but the most common causes are cholecystitis, appendicitis, and collecting duct stones. Appropriate diagnostic tests must be performed to discover the causes of abdominal pain. The clinical examination is important and indispensable in diagnosis.
Out-of-equilibrium behavior in CuCl
Authors: Pimentel Dyvison Pedreira 
Published: October 2023

Abstract

The results shown here provide some information about electric field-induced metallic state in CuCl. It is notable that in addition to the applied electric field inducing the transition from a high-resistance state to a low-resistance state, the electric field can drive the sample back to the high-resistance state. This means that the metallic state of CuCl is out of equilibrium. In addition, the contribution of the antiferromagnetic fluctuations of Clinoatacamite to the magnetotransport properties of oxidized CuCl is evident.
Determinants of access to improved drinking water and sanitation in India: evidence from India Human Development Survey-II (IHDS)
Authors: Gurung Rajiv , Tirkey Christopher , Takri Kishore Kumar , Diyali Nimesh , Choubey Manesh , Rai Runa 
Published: October 2023

Abstract

Access to improved drinking water and sanitation has been declared a fundamental right by the UN General Assembly. However, around 25 and 50% of the global population lacked access to safely managed drinking water and improved sanitation in 2020, respectively. India, the second most populous country in the world, has around 3.7 and 31% of its population without access to improved drinking water and sanitation, respectively. This paper explores the factors determining a household's access to improved drinking water and sanitation in India, using India Human Development Survey (IHDS) II data. The results indicate that urban households with bigger family sizes, with fewer rooms, married but uneducated household heads, belonging to forward castes, were more likely to have access to improved drinking water. Similarly, households with married female heads, belonging to forward castes, small household sizes, older aged heads with primary education, from Non-EAG (Empowered Action Group) states, located in urban areas, earning higher incomes and having more rooms were more likely to have access to improved sanitation. Findings suggest subsidized improved water and sanitation services and an increase in public investment to make these facilities affordable for poor rural households.
Renal Ewing sarcoma with extensive neuroectodermal differentiation: Case report and literature review
Authors: Sava Alexandra Daniela , Szekely Tiberiu Bogdan , Togănel Cornelia , Vacar Adela , Bungardean Catalina , Gurzu Simona 
Published: October 2023

Abstract
Ewing sarcoma with renal localization is one of the rarest members of the Ewing sarcoma family with less than 200 cases reported in the Medline database. Considering the fact that the majority of data published on the Ewing sarcoma with neuroectodermal differentiation is obtained through a few case reports and case series, it becomes understandable why we currently have no universally accepted treatment regimens.

Case summary: A 33-year-old patient presented to the Emergency Department with right lumbar pain following a mild trauma and an episode of macroscopic hematuria. Physical examination confirmed hematuria and flank pain and a palpable flank mass was identified. MRI showed a cystic lesion of the upper pole of the right kidney of 127/110/123 mm. After prior agreement of the multidisciplinary team, a 3D laparoscopic right radical nephrectomy was done. The histopathological diagnosis revealed an Ewing sarcoma with extensive neuroectodermal differentiation staged as pT3N1M0L1V2R0. Despite swift implementation of the chemotherapy protocol, the progression of the disease was quickly noted. Currently, one year after diagnosis, the disease is still progressing despite the chemotherapy treatment, the patient being a third line chemotherapy candidate. As renal localization of Ewing sarcoma with extensive neuroectodermal differentiation is extremely rare, multimodal treatment strategies must be established by a multidisciplinary team. Despite its aggressive biological behavior, a proper therapeutic management might increase patient life expectancy.
Development of Sheepskin Processing Technology Using Whey
Authors: Sydykova Gulzhamal , Smagulova Zauresh , Moisseyeva Yelena 
Published: October 2023

Abstract
In this study, the possibility of using whey as a preservative and aldazan as an antiseptic was studied in order to reduce the consumption of sodium chloride, enhance the effect of preservation, and reduce the duration of sheepskin processing during preservation. The whey-salt method proposed for preserving raw sheepskin allows to reduce the consumption of sodium chloride through the use of whey in preservative compositions by up to 50%, the duration of the process of processing skins in comparison with the traditional method by 1.5-2 times (traditional method - 80 hours, proposed - 54-56 hours), the preservation process from 8 to 4 hours, the drying process from 72 to 48-50 hours, the cost of the preservation process, as well as the water consumption and pollution of wastewater from enterprises.
Evaluation of Nutrition According to Milk Metabolites and Components in Seasonal Dependence in Dairy Cows
Authors: Lacková Petra Timkovičová , Maskaľová Iveta , Vajda Vladimír , Bujňák Lukáš 
Published: October 2023

Abstract
The objective of this study was to evaluate the nutrition according to the milk metabolites and components during the seasonal dependence of the dairy cows. In the summer time, it was confirmed that significantly lower content of milk protein and fat (P < 0.001) and lower milk, protein, and fat yields (P < 0.001) occurred, compared to the autumn period. The content of milk lactose was not statistically significant (P > 0.5). The evaluation of nutrition according to protein in milk and milk urea in the summer period was confirmed in the 2nd group of milk samples which represented 53 % of the group’s higher content of milk urea, higher content of urinary nitrogen excretion, and a lower nitrogen utilization efficiency compared to the 1st group of milk samples. The autumn period was confirmed in the 2nd group of milk samples which represented 53 % of the group with higher milk yield and lower content of milk proteins and milk fat compared to the 1st group of milk samples. The evaluation of nutrition using the analysed content of milk urea and proteins in milk represents a suitable tool for evaluating the impact of malnutrition or overfeeding of energy and protein on milk production and other components.