bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of clinical features and inflammatory factors between patients with bipolar depression and unipolar depression
Authors: Zhang Tianwei , Ji Changjun , Zhu Jiayu , Wang Xiaoxiao , Shen Chengjia , Liang Fei , Hou Yajun , Sun Yan , Wang Chongze , Wang Peijuan , Lu Guoqiang , Wang Xiaohui , Lv Qinyu , Yi Zhenghui 
Published: November 2024

Abstract

Background
To compare the differences in clinical features and inflammatory factors of unipolar depression and bipolar depression, and to explore potential clinical features and peripheral blood biological markers are used to distinguish unipolar depression and bipolar depression. And to further build a prediction model.
Methods
The inpatients of Shanghai Mental Health Center from June 2022 to June 2024 were selected as the study objects. According to the diagnosis of hospitalization records, 274 cases were divided into unipolar depression group and 128 cases were bipolar depression group. A total of 128 patients were enrolled in each of the two groups by the propensity score matching method. The demographic data, clinical characteristics and biological indicators of the two groups were compared. Biological markers include neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), C-reactive protein (CRP), serum triodothyronine (T3), thyroxin (T4), free thyroid hormone (fT3, fT4), and thyroid stimulating hormone (TSH) ), complement 3(C3), complement 4(C4), immunoglobulin A(IgA), immunoglobulin G(IgG), immunoglobulin M(IgM). Binomial Logistic regression analysis was used to control confounding factors to explore the predictors of bipolar depression. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of clinical features and biological indicators in bipolar depression.
Results
There were statistical differences in life events (χ2 = 15.397, P = 0.000), CRP (Z = 6.717, P = 0.000), TSH (Z = 1.988, P = 0.047), C3 (Z = 5.682, P = 0.000), C4 (Z = 4.216, P = 0.000), IgM (Z = 2.304, P = 0.021) between unipolar depression group and bipolar depression group. Logistic regression analysis showed that life events (OR = 4.552, 95%Cl = 2.238∼9.257), CRP (OR = 13.886, 95%Cl = 5.290∼36.452), IgM (OR = 0.561, 95%Cl = 0.325∼0.970) were associated with bipolar depression. ROC curve analysis showed that the AUC of Logistic regression model predicting bipolar depression was 0.806, with a sensitivity of 61.7%, and a specificity of 85.9%.
Conclusions
Compared with unipolar depression, no life events, higher levels of CRP and lower levels of IgM were related factors of bipolar depression, and the combined diagnosis model is more effective to distinguish unipolar depression from bipolar depression.
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
Authors: Alkalbani Asma Musabah , Alrawahi Ahmed Salim , Salah Ahmad , Haghighi Venus , Zhang Yang , Alkindi Salam , Sheng Quan Z 
Published: November 2024

Abstract

Large Language Models (LLMs) have shown potential to transform medical specialties but there are uncertainties in their performance. This systematic review aims to evaluate LLMs utilization, impacts, and challenges across 19 medical specialties. We systematically searched on Scopus and Web of Science for journal articles employing LLMs for medical specialties. 5,790 peer-reviewed studies were identified, of which 84 were included in this systematic review. The results revealed the most used evaluation metric for assessing LLM performance is the accuracy metric, followed by the F1-score. The LLM scores for the evaluation 1 metrics varied based on the task of utilizing the LLM, where five main applications were identified. The main positive impact reported was enhancing medical processes efficiency, while the most reported negative impact was inconsistent reliability. More rigorous validation standards that consider the unique challenges of LLMs research could enhance future studies. Continued research and collaboration between computer science and medical communities will be crucial for advancing and ensuring the reliable and trustworthy application of LLMs in healthcare.
Inserting a VA-ECMO Cannula Through an Inferior Vena Cava Filter During Extracorporeal Cardiopulmonary Resuscitation
Authors: Mu Gen hua , Xu Rongliang , Wang Yiyun , Pan Chun , Xie Jianfeng 
Published: November 2024

Abstract

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) has been utilized to treat massive pulmonary embolism (PE) accompanied by cardiac arrest or refractory cardiogenic shock. Our team preferred a femoral-femoral approach for vascular cannulation, using drainage and return cannulas in the common femoral vein and artery, respectively. However, femoral venous cannulation can be limited or challenging due to the presence of thrombus in the inferior vena cava (IVC), making the insertion of the drainage cannula via the femoral vein difficult. We present the case of a patient with massive PE who underwent aspiration thrombectomy and insertion of an IVC filter, followed by the initiation of VA-ECMO for cardiac arrest. We successfully inserted a femoral venous return ECMO cannula through the inferior vena cava filter during extracorporeal cardiopulmonary resuscitation. The patient stabilized with these interventions and ultimately achieved a favorable outcome with normal neurological status.
Graphene oxide/carbon-fiber composite structural supercapacitor with stable electrochemical performance under surface load bearing
Authors: Zhang Zheng , Shen Laifa , Xu Xin , Guo Jun , Liu Yang , Zhang Jie , Zhu Zhen , Xu Jiayi , Ji Dingwei , Kong Zhihan , Wang Jing , Wu Qi , Yan Kang , Liu Jinsong , Zhu Kongjun 
Published: November 2024

Abstract

In response to the development needs for lightweight and functional aviation electric aircraft, as well as cleaner and sustainable green energy, this study designed a graphene oxide-based carbon-fiber structural supercapacitor with integrated structure and energy storage capabilities. It possesses electrical storage stability and meets mechanical load-bearing requirements. We focused on the electrochemical stability of the GO/CF1 structural supercapacitor under load-bearing conditions. Experimental results showed that capacitance retention was nearly 100% over 10,000 cycles, with a coulombic efficiency of 96.27% at 0.1 mA/cm². Under a 30 kPa load-bearing condition, the capacitance retention and coulombic efficiency of the GO/CF1 structural supercapacitor were approximately 99.58% and 94.34%, respectively, at 0.05 mA/cm² over 15,000 cycles. The GO/CF1 structural electrode exhibited similar morphology and almost the same specific surface area in both unloaded and load-bearing states, elucidating the mechanism behind the stability of its electrochemical properties. Furthermore, the tensile strength and elastic modulus were 139.19 MPa and 8.6 GPa, respectively. This study demonstrated that the GO/CF1 structural supercapacitor maintains stable electrochemical performance under load-bearing conditions, offering a design concept for optimizing structural energy storage devices in aerospace applications.
A highly efficient adsorption-photocatalytic synergistic degradation of tetracycline by in-situ constructed Bi 5 O 7 I/ZIF-8 heterojunction
Authors: Jiang Rongfei , Luo Weiqi , Peng Jinyang , Tang Jijun , Wang Xinyue , Alkhedaide Adel Qlayel , Teng Yihui , Dai Qiuyang , Gao Guicheng , Zhang Jiaoxia , El-Bahy Zeinhom M. , Amin Mohammed A. , Ye Yonglin 
Published: November 2024

Abstract

Residue organic matter such as antibiotics and dyes are left in wastewater that are difficult to remove. Herein, we reported a bismuth oxyiodide (Bi5O7I)/zeolite imidazolate framework-8 (ZIF-8) catalyst with an S-scheme heterojunction for the degradation of tetracycline (TC) using an in-situ growth strategy. The degradation process of TC is divided into two parts: adsorption and photocatalysis. Under dark reaction conditions, the Bi5O7I/ZIF-8 composites have an eminent adsorption effect on TC. When exposed to visible light, the resulting Bi5O7I/ZIF-8 composites revealed an outstanding photocatalytic activity and high stability toward TC degradation. Experiments utilizing active species trapping showed that O2 is essential to the photocatalytic process and the efficacy of the process is further improved by the addition of h+ and •OH. Likewise, these catalysts catalyzed the degradation of 84.6% of TC, and the Bi5O7I/ZIF-8 also exhibited high degradation stability after 4-cycle trial. This work optimizes the degradation performance of antibiotic residues by presenting a practical and doable approach for creating green semiconductor heterojunctions.
Auto-weighted sequential neural network and its application in shear wave velocity prediction
Authors: Fu Xingan , Wei Youhua , Su Yun , Hu Haixia 
Published: November 2024

Abstract

Shear wave velocity is of great significance for accurate seismic data description and fluid tracking. However, the measurement of shear wave velocity is difficult, requiring high-precision equipment and professional operators. Conventional logging velocity often does not fully include the effective value of shear wave velocity, which brings serious challenges to the accurate exploration of oil and gas in deep strata. To meet demands of the industry, it is necessary to synthesize accurate shear wave logging from relevant conventional logging. Since the LSTM network is unable to compute sample points in parallel and has insufficient nonlinearity caused by sequential calculation, an auto-weighted sequence module is designed in this paper to extract context and better predict shear wave velocity. It takes each logging curve with a fixed step length to use a trainable matrix for auto-weighted rearrangement, and then uses the ELU function to activate. After the calculation of N such modules, the shear wave velocity is predicted by the fully connected layer. Comparing the prediction results of different methods, the auto-weighted neural network can indeed significantly improve the prediction accuracy, obtaining the highest accuracy with 39.21 of MAE and 0.9860 of R2. In addition, the proposal way is better than the LSTM network at different input lengths, with a significant improvement of about 5%. In conclusion, the proposed way can effectively extract the sequence information of the input data, thus it is an effective sequence modeling tool, which has good performance in the prediction of the shear wave.
Strategic Decision-Making in Higher Education Learning Management System Adoption using hybrid intuitionistic fuzzy Method
Authors: Meng Jiao , Zheng Xiaohan , Zhang Zeheng , Zhang Longji 
Published: November 2024

Abstract

In the context of higher education institutions, the adoption of learning management systems (LMS) represents a critical strategic decision, influenced by complex factors and evolving pedagogical practices. As the digitalization of education accelerates, administrators face the challenge of selecting the most suitable LMS solution amidst a plethora of options. This paper proposes a novel approach to address this challenge, leveraging the intuitionistic fuzzy (IF) criteria importance through intercriteria correlation (CRITIC)This work suggests a novel ranking order strategy that combines the IF criteria importance through intercriteria correlation (CRITIC) -alternative ranking order method accounting for two-step normalization (AROMAN) Method. This technique aims to overcome this hurdle. Method. Drawing upon insights from multi-criteria decision-making (MCDM), this methodology offers a systematic framework for evaluating LMS alternatives while accounting for the inherent uncertainties and subjectivities in the decision-making process.The AROMAN technique—which conducts two-step normalization in an IFenvironment is coupled with the CRITIC paradigm, which examines intercriteria correlations, to improve complicated and uncertain decision-making. The advantages of the suggested approach are shown via an LMS case study. This case study shows how the suggested approach advances open decision-making, consistency, and strategic alignment. The study offers a strong basis for decision-making addressing problems with the use of LMS in higher education. This gift facilitates the digitization of learning surroundings.
Bearing Capacity and Safety Zoning Method for Near Slope Strip Footings Considering Slope Stability
Authors: Yuan Hao , Xiao Qinghua , Qiu Zemin , Han Xiangyu , Li Congming , Xiao Yihuan , Dang Longxin , Liu Jinqiao 
Published: November 2024

Abstract

Ensuring the safety of foundation bearings in slope engineering poses a significant challenge. This study uses numerical simulations and slip line field theory to construct a mathematical model for strip footing near a slope. It employs the limit equilibrium block analysis to propose an estimation formula for the ultimate bearing capacity and a safety zoning method for strip footing near a slope, considering multiple factors such as slope shape, foundation, and load. The results indicated that (1) when the slope fails due to the foundation load, it exhibits a failure mode of initial constant velocity shear followed by a dominant slip to the free side. (2) This research proposes a multi-factor evaluation formula for the ultimate bearing capacity of strip footing near a slope, which can be calculated directly and is convenient for engineering applications. (3) As slope characteristic parameters remain constant, the ultimate bearing capacity decreases with an increase in slope angle and foundation width, and it increases with an increase in distance from footing to the top of the slope, cohesion, and internal friction angle. In addition, the spatial safety zoning evaluation method of strip footing near a slope is established, providing a reference and theoretical basis for engineering practice.
Comprehensive development and screening of novel black pepper hybrids (Piper nigrum L.) for enhanced resistance to Phytophthora capsici
Authors: Arif Tamanna , Narayanpur Vijaykumar B , kulkarni Sudheesh , V Devappa. , Shet Ratnakar , C Vishwanath Y , P Pushpa 
Published: November 2024

Abstract

Black pepper (*Piper nigrum* L.), often referred to as the "King of Spices" and "Black Gold," holds a unique and dominant position as the most important and widely used spice globally. It has been a highly valued agricultural commodity for centuries. Despite its immense commercial significance, black pepper faces considerable challenges, particularly from the destructive Phytophthora foot rot disease, which poses a serious threat to its cultivation. Addressing this challenge through the development of genetic variability via hybridization is crucial. This study investigates the impact of various parental combinations on black pepper seeds to generate novel hybrids. Inter-varietal hybridization was executed with multiple cross combinations, including Panniyur-1 x BPL Gold, Panniyur-1 x Salkani (RMH), Panniyur-1 x SV 7, Panniyur-1 x SV 11, Panniyur-1 x SV 17, and Panniyur-1 x V1. Among these combinations, the Panniyur-1 x Salkani (RMH) hybrid exhibited the highest percentage of spike setting, germination rate, seedling height, number of leaves, internodal length and number of branches. Detailed analysis of leaf characteristics such as base shape, lamina shape, veination and leaf margin revealed noticeable variations between the hybrids and their parent plants. The newly developed hybrids underwent rigorous screening for resistance to Phytophthora foot rot through artificial inoculation with Phytophthora capsici. Notably, the Panniyur-1 x Salkani (RMH) hybrid demonstrated exceptional tolerance, showing minimal lesion development. This study not only expands the genetic diversity of black pepper but also establishes a foundation for cultivating robust hybrids with enhanced resistance to Phytophthora foot rot. Such advancements are pivotal for ensuring a resilient and profitable agricultural future.
Development and Validation of a Sustainable Densitometric RP-HPTLC Method for Analyzing Irbesartan and Amlodipine Besylate in Pharmaceutical Products Using Eco- Friendly Solvents
Authors: Chaure Vinod A. , Shirkhedkar Atul A 
Published: November 2024

Abstract

A review of the literature found that there is no suitable "reversed phase-high performance thin layer chromatography (RP-HPTLC)" method for examining amlodipine besylate (AMD) and irbesartan (IRB) in tablet formulations. For the quantification of commercial tablets manufactured by AMD and IRB, a new RP-HPTLC method that is quick, simple to use, economical, and eco-friendly has been created. RP-HPTLC analysis was performed on IRB and AMD using "RP-18 silica gel 60 F254S HPTLC plates." A binary mixture of green solvents, consisting of methanol and water (60: 40:1.0, v/v), used as the mobile phase. This chromatographic technique yielded compact bands with good resolution, with retardation factors (Rf) of 0.22 ± 0.002 for AMD and 0.53 ± 0.001 for IRB. AMD and IRB measurements were made at 236 nm. For IRB in the 500–3000 ng per band range (R2 = 0.9992) and for AMD in the 25-1500 ng per band range (R2 = 0.999), it was shown that the recommended RP-HPTLC method was linear. The "precision, accuracy, robustness, and sensitivity" of the proposed RP-HPTLC approach were all validated. For AMD, the accuracy varied from 99.33 to 100.20%, while for IRB, it ranged from 99.41 to 100.61%. For moderate accuracy and repeatability, the % RSD was found to be less than 2. IRB had quantification limits of 31.63 ng per band and AMD had detection limits of 10.44 ng per band and AMD had detection limits of 3.35 ng per band. The percentages of IRB and AMD in commercially available tablets were determined to be 99.78 to 101.96 for IRB and 98.25 to 100.42% for AMD, respectively. The proposed RP-HPTLC method may be successfully applied to the pharmaceutical assay of IRB and AMD, which are sold as tablets, using green solvents.
OsPIP2;4 aquaporin mediates non-selective Na+ and K+ conductance, potentially contributing to the absorption and distribution of cations in rice
Authors: Tran Sen Thi Huong , Katsuhara Maki , Mito Yunosuke , Onishi Aya , Higa Ayaka , Ono Shuntaro , Paul Newton Chandra , Horie Rie , Harada Yoshihiko , Horie Tomoaki 
Published: November 2024

Abstract

Aquaporin (AQP)-dependent water transport across membranes is indispensable in plants. Recent evidence shows that several AQPs, including plasma membrane intrinsic proteins (PIPs), facilitate the electrogenic transport of ions as well as water transport and are referred to as ion-conducting aquaporins (icAQPs). The present study attempted to identify icAQPs that exhibit cation transport activity among PIPs from rice. Electrophysiological experiments on 11 OsPIPs using Xenopus laevis oocytes revealed that OsPIP2;4 mediated the electrogenic transport of alkali monovalent cations with the selectivity sequence of Na+ ≈ K+ > Rb+ > Cs+ > Li+, suggesting non-selective cation conductance for Na+ and K+. Transcripts of OsPIP2;4 were abundant in the elongation and mature zones of roots with similar expression levels between the root stelar and remaining outer parts in the cultivar Nipponbare. Immunostaining using sections of the crown roots of Nipponbare plants revealed the expression of OsPIP2;4 in the exodermis and sclerenchyma of the surface region and in the endodermis and pericycle of the stelar region. The present results provide novel insights into OsPIP2;4-dependent non-selective Na+ and K+ transport and its physiological roles in rice.
PAM-flexible adenine base editing rescues hearing loss in a humanized MPZL2 mouse model harboring an East Asian founder mutation
Authors: Shu Yilai , Hu Shao Wei , Jeong Sohyang , Jiang Luoying , Koo Hansol , Wang Zijing , Choi Won Hoon , Zhu Biyun , Seok Heeyoung , Zhou Yi , Kim Min Gu , Mu Dan , Guo Huixia , Zhou Ziyi , Jung Sung Ho , Zhang Yingting , Chae Ho Byung , Chen Liheng , Lee Sung-Yeon , Guo Luo , Suh Myung-Whan , Xiao Yang , Park Moo Kyun , Tang Honghai , Song Jae-Jin , Chen Xi , Chen Ai , Lee Jun Ho , Bae Sangsu , Lee Sang-Yeon 
Published: November 2024

Abstract

Hearing loss is one of the most prevalent sensory disorders, but no commercial biological treatments are currently available. Here, we identified an East Asia-specific founder mutation, the homozygous c.220C>T mutation in MPZL2, that contributes to a significant proportion of hereditary deafness cases in our cohort study. We found that the disease-causing mutation could be targetable by adenine base editors (ABEs) that enable A·T-to-G·C base corrections without DNA double-strand breaks. To demonstrate this, we developed a humanized mouse model (hMPZL2Q74X/Q74X) that recapitulates human MPZL2 deafness and leads to progressive hearing loss. A PAM-flexible ABE variant with reduced bystander and off-target effects (ABE8eWQ-SpRY:sgRNA3) was packaged in dual adeno-associated viruses (AAVs) and injected into the inner ear of hMPZL2Q74X/Q74X mice and effectively corrected the mutation. This treatment significantly restored hearing function, improved inner ear structural integrity, and reversed altered gene expression. Base editing may hold therapeutic potential for hereditary deafness, including most cases of MPZL2 deafness.
Detection and Antimicrobial Resistance Profile of Salmonella Isolated From Raw Cow Milk and Its Products in Bishoftu Town, Central Ethiopia: Implication for Public Health
Authors: Temesgen Lema , Tufa Takele Beyene , Abunna Fufa 
Published: November 2024

Abstract

Background
Salmonella is a significant foodborne pathogen, with milk and milk products commonly implicated in its transmission. However, limited information is available regarding the direct link between antimicrobial use (AMU), dairy hygiene practices, and antimicrobial resistance (AMR) in Salmonella strains isolated from dairy products in Bishoftu town.
Methods
Cross-sectional research was done from October 2023 to April 2024 to assess dairy farmers' antimicrobial usage (AMU) and hygiene practices and the occurrence of antimicrobial resistance (AMR) profiles of Salmonella isolated from raw cow milk and its products. Two hundred samples were collected from dairy farms, milk vendors, and restaurants and analyzed using standard microbiological methods. Using the OmniLog system, Salmonella enterica was successfully identified. Then, the antimicrobial susceptibility was evaluated using the Kirby-Bauer disc diffusion technique. Data were analyzed using STATA version 14.2.
Results
Overall, 2% (n = 4) of the samples tested positive for S. enterica. Of the 4 isolates, 3 were identified in dairy farm samples, whereas 1 were isolated from milk vendors. However, no Salmonella was identified in cheese or yogurt samples obtained from the restaurants. Regarding the AMR profile, S. enterica isolates were resistant to amoxicillin (75%), streptomycin (75%), and tetracycline (50%). Resistant to two or more antimicrobials were identified in 75% of the isolates.
Conclusion
This study indicated contamination of cow milk and its products with S. enterica. Therefore, appropriate control measures, including awareness creation among personnel and improving hygienic practices at the milk value chains is recommended to mitigate cross-contamination.