bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Vein Thrombosis After Laparoscopic Nephrectomy: A Case Report
Authors: Zhang Zijian
Published: July 2024

This case report presents a 63-year-old male patient who developed deep vein thrombosis (DVT) shortly after undergoing retroperitoneal laparoscopic nephroureterectomy for ureteral and renal pelvis tumors. Despite early postoperative mobilization and administration of low molecular weight heparin, the patient developed DVT, highlighting the limitations of current postoperative management strategies. The patient was promptly treated with the placement of an inferior vena cava filter and continued anticoagulation therapy, preventing the progression to pulmonary embolism and leading to a successful discharge.The report emphasizes the importance of vigilant postoperative monitoring and timely intervention in preventing complications such as DVT. It suggests that current strategies, including early mobilization and standard anticoagulation therapy, may not be sufficient to fully prevent DVT, necessitating further optimization of postoperative care. Regular monitoring of D-Dimer levels and ultrasound examinations, as well as appropriate limb protection measures during surgery, are recommended to detect and manage potential DVT early.This case contributes valuable insights into the early detection and management of postoperative DVT, providing useful references for similar cases and stressing the need for enhanced postoperative monitoring and timely intervention.
A U-Statistic for Testing Lack of Dependence in Functional Partially Linear Regression Model
Authors: Zhao Fanrong , Zhang Baoxue
Published: July 2024

Functional partially linear regression model, contains a functional linear part and a non-parametric part, in which testing the linear relationship between the response and the functional predictor is of fundamental importance. When functional data cannot be approximated with a few principal components, based on a pseudo estimate for the unknown non-parametric component, we develop a U-statistic of order-two in this paper. Under some regularity conditions, we use the martingale central limit theorem to prove that the proposed test statistic is asymptotically normal. The finite sample performance with simulation studies and real data application are assessed to verify the proposed test procedure.
A Supply Chain Oriented Product Design Optimization Decision Method Based on Improved CUR Matrix Decomposition
Authors: Wu Shuang , Lei Hengxin , Lim Tong Ming , Yiqi Tew , Lai Wong Thein
Published: July 2024

At present, product family design has become an important link in enterprise development and manufacturing. Optimization ideas and technologies are important foundations and core frameworks in product family design. Previous research on product family design has mainly been limited to optimization problems within the product domain. As an important influencing factor in the product family design process, the supply chain not only affects the cost level of the product family in the back-end of the design process, but also affects the modular structure layout of the product family in the front-end of the design process. Therefore, the optimization of the correlation between supply chain and product family design process is a crucial issue that determines the success or failure of product families. However, when researching the personalized needs of users in product family design and configuring product modules, there is very little consideration given to the optimization of supply chain correlation. To address the aforementioned issues, this article develops supply chain oriented product design optimization decision-making method based on improved CUR matrix decomposition. Firstly, based on the customer’s functional requirements C matrix and module relationship R matrix, perform customer clustering and corresponding product configuration. Then, utilizing the numerical stability of orthogonal trigonometric decomposition (QR), U matrix is constructed, which represents the inherent relationship between functional requirements and module relationships. Secondly, based on quality/character requirements, functional module levels division and initial supplier configuration are carried out. Finally, determine the supplier configuration for each module with the goal of maximizing total profit. Analyze the customer selection, classification, and product configuration process of a contractor as a case study. The research results indicate that the optimization decision method based on improved CUR matrix decomposition can effectively obtain the optimal solution of the decision problem.
Распространение вариантов вируса SARS-COV-2, вызывающих интерес (VOI) и находящихся под наблюдением (VUM), на основе количества их геномов, депонированных в базу данных GISAID за неделю с 13 по 19 июля 2024 г.
Authors: Чумачкова Елена , Дмитриева Людмила , Краснов Ярослав , Осина Наталия , Зимирова Анастасия , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: July 2024

В обзоре представлена информация по циркулирующим в настоящее время вариантам вируса SARS-COV-2 Omicron вызывающих интерес (VOI) и находящихся под наблюдением (VUM), геномные последовательности которых размещены в международной базе данных GISAID за неделю с 13 по 19 июля 2024 г.
Current Evidence on Open and Arthroscopic Bristow-Latarjet Procedure
Authors: Barreira Mariana , Claro Rui
Published: July 2024

The Bristow-Latarjet procedure became the cornerstone treatment for anterior shoulder instability with significant glenoid bone loss. The “triple locking effect” include reconstruction of the glenoid concavity, tendinomuscular subscapularis lock-up and capsular repair. With the arising of minimal invasive techniques like arthroscopy, it is important to assure its noninferiority compared to conventional approaches in terms of graft positioning, nonunion or osteolysis, screw positioning, postoperative pain, recurrence, minor complications and postoperative osteoarthritis. In this article, the authors present recent literature comparing the results between conventional and arthroscopic coracoid transfer procedures.
Teacher’s perceptions in Greece about the Information and Communication Technologies and the use of new technologies in intercultural education
Authors: Balamoti Eleftheria
Published: July 2024

The use of new technologies in educational practice is a research object for many researchers, causing intense mobilization and reflection. Globalization and the movement of populations make imperative the need to develop educational policy in order to explore it at an international level and highlight diversity and interculturalism for the benefit of society. New technologies are one of the most important resources in the educational process, as means for the knowledge transmission, development of critical thinking and problem solving. The purpose of this study is to highlight the usefulness of ICT and new technologies in intercultural education. The research results showed that the majority of teachers believe to a large extent that the use of new technologies contributes to the wider progress of society. Also, significant differences were found in the use of computer for the preparation of their teaching in favor of women. Moreover, it is highlighted that students, through the use of ICT, participate more actively in the educational process compared to the traditional way of teaching without the use of ICT. Thus, we present a line of study that emphasizes the importance of the utilization of ICT during the entire educational process in an educational intercultural environment.
Keywords: ICT, Intercultural Education, New Technologies, Teachers
Resilient and thriving communities – A proactive approach to sustainable water use
Authors: Brady Sandra , Burke Jacinta
Published: July 2024

Saving water is something we don’t often think about until the next drought, and by then it’s often too late. To ensure our communities continue to thrive under an ever-changing climate, Barwon Water undertook extensive engagement which highlighted strong community support and willingness to pay for ongoing water efficiency, which was key to an uplift in investment in year-round sustainable water initiatives. A proactive rather than reactive Sustainable Water Use Plan (SWUP) was developed to manage demand and deliver on customer expectations. The SWUP initiatives have achieved water savings of around 960 million litres between 2018-23. By meeting the needs and expectations of our customers and community other key benefits have also been achieved. These include improved customer wellbeing and affordability, reduced wastage, reduced energy consumption and positive customer experience while providing high value for investment (cost per megalitre of water saved) for Barwon Water to maintain resilient and thriving communities. The SWUP is now a key deliverable in Barwon Water’s Strategy 2030 and a refreshed plan has been prepared for 2023-28, building on the achievements and lessons learnt in the previous five-year period.
Komparasi Minat Belajar Siswa Kelas III MI Ma’arif Mayak Ponorogo dengan Menggunakan Alat Peraga Papan Pecahan
Authors: Hidayati Kurnia , Khuzaini Nur Qhoufi
Published: July 2024

Interest is a person's favourite, favourite thing about something. The tedious learning process of mathematics tends to make students less interested in learning material, so one of the efforts made in the learning process is by using fraction board props on simple fraction material. The research method used is a comparison with the independent sample t-test. The research was conducted at MI Ma'arif Mayak Ponorogo with a sample size of 50 students consisting of 2 classes, namely class 3a as the experimental class and class 3b as the control class. The data collection technique used a questionnaire—technical data analysis using quantitative descriptive data and inferential statistics. The results of the study are 1) the learning interest of MI Ma'arif Mayak Ponorogo students who use fraction board props in the high category 8%, medium category 84% and low category 8%; 2) the learning interest of MI Ma'arif Mayak Ponorogo students who do not use fraction board props in simple fraction material in the high category 20%, medium category 64%, and low category 16% and 3) There is a significant difference between the learning interest of MI Ma'arif Mayak Ponorogo students who use and do not use the fraction board props with t-count 3.159 and t-table 2.201 at the 5% significance level.
Kemampuan Berfikir Kritis Dalam Pembelajaran Matematika Ditinjau dari Self Efficacy
Authors: Risdianah Eva , Fatmahanik Ulum
Published: July 2024

The ability to think critically in learning mathematics is very important because it can make it easier for students to understand content, analyze concepts, plan calculation strategies and provide appropriate conclusions. But in fact, students' critical thinking skills are still not optimal due to lack of confidence (self-efficacy) in solving problems. Different students' self-confidence causes different students' critical thinking abilities. The purpose of this study was to describe the critical thinking skills of fifth grade students at SDN Kutukulon on speed and discharge in terms of high, medium, and low self-efficacy. The research method in this study used descriptive qualitative data collection techniques using questionnaires, tests and interviews. The results of the study show that: 1) Students with high self-efficacy fulfill 4 indicators namely interpretation, analysis, evaluation, and inference. However, there are weaknesses in the interpretation indicators where students are incomplete in writing information according to the context of the questions. 2) Students with moderate self-efficacy fulfill indicators of interpretation and analysis. While the evaluation and inference is quite good. This is because students only write down concepts without explanation and at the end of the answers are not equipped with a unit of account. 3) Students with low self-efficacy only meet 2 indicators, namely interpretation and analysis, while the evaluation and inference indicators are still not fulfilled because students make mistakes in counting so that the conclusions given are not appropriate according to the context of the questions given
Designing a Mobile Health Platform for Effective Medical Records Management in Hospitals
Authors: Chithambaram Yuvarajan , Priya Nithya , Ganesh Bhooma Devi
Published: July 2024

This research work aims to develop a Medical Records Management system for Android and IOS platforms, utilizing Low Code and No Code (LCNC) software development platforms. The system will facilitate efficient connectivity between doctors, nurses, and PGs, ensuring accurate and timely access to patient information. This approach aims to empower healthcare professionals to access, update, and retrieve patient information in a timely manner. Efficient management of medical records is crucial in healthcare settings proposes a solution to address these challenges by developing a Medical Records Management system for Android and iOS using Low Code and No Code software development platforms. The Medical Records Management mobile app will be developed using a Low Code and No Code software development platform. The platform will enable the hospital’s staff, including non-technical users, to create a customized application from scratch without the need for complex coding. The implementation of the MRD - Prototype App using Low Code and No Code software development platforms will provide connectivity between doctors, nurses, and PGs, facilitating efficient communication and data sharing. This research demonstrates the feasibility and benefits of using Low Code and No Code software development platforms in the healthcare industry, specifically in the context of Medical Records Management. Overall, the research contributes to improving medical record management, leading to better patient outcomes and increased quality of care in healthcare settings.
Ultra-compact Multi-Task Processor Based on In-Memory Optical Computing
Authors: Chen Hongwei , Liu Wencan , Huang Yuyao , Sun Run , Fu Tingzhao , Yang Sigang
Published: July 2024

To enhance the scalability and adaptability of on-chip diffractive optical neural network (DONN), this study introduces a novel network architecture for multi-task processing with in-memory optical computing. On-chip DONNs are celebrated for their compact structures and capability to transduce a substantial volume of parameters into optical form, yet they encounter challenges in scalability and multitasking. Leveraging the principles of transfer learning, this approach involves embedding the majority of parameters into fixed in-memory optical components and a minority into adjustable electrical components. Furthermore, with deep regression algorithm in modeling, a compact optical neural network achieve to handle diverse tasks. In this work, two ultra-compact in-memory diffraction-based chips with integration of more than 60,000 parameters/mm^2 were fabricated, employing deep neural network model and the hard parameter sharing algorithm, to perform multifaceted classification and regression tasks, respectively. The experimental results demonstrate that these chips achieve accuracies comparable to those of electrical networks while significantly reducing the power-intensive digital computation by 90%. Our work heralds strong potential for advancing in-memory optical computing frameworks and next generation of artificial intelligence platforms.
An Hybrid System Combining the Shortest Path Algorithm with and Real-Time VGG19 Convolutional Neural Network
Authors: Chebbi Imen , Abidi Sarra , Ayed Leila Ben
Published: July 2024

—In the aftermath of catastrophic natural catastrophes such as earthquakes, tsunamis, and explosions, providing immediate help to key areas can mean the difference between life and death for many individuals. To meet this critical demand, we created a hybrid transportation system that harnesses the power of vgg19 and traditional shortest path algorithms. The objective was to create a real-time system that could address these issues and provide a novel viewpoint. The suggested approach can precisely anticipate damaged roads and steer clear of them when determining the shortest way between sites during emergencies or natural disasters by merging VGG19 with the shortest path algorithm. With the potential to save many lives, this creative strategy can assist emergency responders reach vital places swiftly and effectively while also saving important time and resources. The experimental study shows that the proposed model can achieve robust results. In fact, our solution achieves 98% accuracy rate and a 0.972 G-Mean score on the test set.
Heavy metals removal by the microalgae Chlorococcum
Authors: Hmani Rihab
Published: July 2024

Heavy metals are one of the main threats to marine life and ecosystems and any remedial action in that regard is urgently required. The aim of this work is to study the bioaccumulation of cadmium, chromium and lead in the microalgae Chlorococcum isolated from Tunisian coastal waters along with assessing its enzymatic and molecular responses. This strain tolerated Cd and Cr accumulation while resisting that of Pb. Cd and Cr exposures elicited a decrease in chlorophyll, lipid and polysaccharide contents whereas no damages were detected following Pb treatment. For protein content, no significant changes were seen except for Pb which exhibited a slight increase after treatment.
Comparative Analysis of Nanomechanical Resonators: Sensitivity, Response Time, and Practical Considerations in Photothermal Sensing
Authors: Schmid Silvan , Kanellopulos Kostas , Ladinig Friedrich , Emminger Stefan , Martini Paolo , West Robert
Published: July 2024

Nanomechanical photothermal sensing has significantly advanced single-molecule/particle microscopy and spectroscopy, and infrared detection through the use of nanomechanical resonators that detect shifts in resonant frequency due to photothermal heating. However, the relationship between resonator design, photothermal sensitivity, and response time remains unclear. This paper compares three resonator types — strings, drumheads, and trampolines — to explore this relationship. Through theoretical modeling, experimental validation, and finite element method simulations, we find that strings offer the highest sensitivity (with a noise equivalent power of 280~fW/Hz$^{1/2}$ for strings made of silicon nitride), while drumheads exhibit the fastest thermal response. The study reveals that photothermal sensitivity correlates with the average temperature rise and not the peak temperature. Finally, the impact of photothermal back-action is discussed, which can be a major source of frequency instability. This work clarifies the performance differences and limits among resonator designs and guides the development of advanced nanomechanical photothermal sensors, benefiting a wide range of applications.
Continuous Local Antibiotics Perfusion to Treat Deep Sternal Wound Infection: A Case Report
Authors: Shingyouchi Ryutaro , Himeno Daisuke , Hayashi Nobuaki , Hashimoto Masafumi , Fujita Hisanori , Yamaguchi Seiichi , Inada Taigo
Published: July 2024

Continuous local antibiotics perfusion (CLAP), a local drug delivery system, treats bone and soft-tissue infections. CLAP uses continuous negative pressure to deliver appropriate antibiotics concentrations to the infection site. We describe the use of CLAP to treat a deep sternal wound infection (DSWI) due to methicillin-resistant Staphylococcus aureus in an older patient following mitral valve replacement surgery. The procedure was minimally invasive, the inflammatory response resolved rapidly, and sternal wound closure was possible by day 11. Employing CLAP for treating DSWIs offers infection control with relatively minimal invasiveness.
Impact of feeding Murraya koenigii and Aegle marmelos leaves on metabolic and reproductive performance in crossbred cows
Authors: Chakma Juli , Dutta N. , Jadhav S. E. , Singh S.K. , Choravada D. R. , Champati A. , Namdeo S. , Kaur N.
Published: July 2024

The study was carried out to ascertain the effect of herbal formulation on metabolic profile and reproductive performance of crossbred cows. Crossbred cows (24) were randomly assigned to four treatment groups. Cows in CON (control) group were fed a diet comprised of green fodder, concentrate and wheat straw, while, the cows in HP (herbal powder), HPL (herbal pellets) and HEX (herbal extract) groups were offered CON diet having herbal powder (200gd− 1), herbal pellets (200gd− 1) and methanolic herbal extract (equivalent to 200g herbal powder d− 1), respectively. The cows were fed on treatment diets for 7 d and continued with CON diet up to one month. Hb levels were analogous among the treatments; however, haematocrit values were significantly higher (P < 0.05) in the HEX group relative to CON. Total protein, albumin, globulin, A:G ratio, serum glucose, total cholesterol, AST and ALT were comparable across the dietary treatments. Serum NEFA, urea and creatinine were lower (P < 0.01) in treatment groups relative to CON. Serum minerals viz. i-P, Cu, Zn, Mn and iron were significantly (P < 0.01) higher in all the treatments than CON. The conception at first insemination was considerably higher in HPL, HEX and HP groups relative to CON. Spinnbarkeit and pH values of cervical mucus were noticeably higher in HP, HPL and HEX groups. The typical fern pattern of cervical mucus exhibited higher conception rate in treatment groups. It may be concluded that the herbal formulation positively influenced metabolic parameters and reproductive performance in post-partum crossbred cows.
Phase Ⅱ Study of Combined Sintilimab and Anlotinib with Gemcitabine plus Cisplatin in Advanced Biliary Tract Cancer: Efficacy, Safety and Optimize Dose
Authors: Li Jingjing , Zhou Shurui , Xu Xiaoqing , Zheng Qinhong , Zhang Fabiao , Luo Cong , Li Da , Sun Xing , Han Zhe , Wu Wei , Yan Junrong , Shao Yang , Zhang Yuhua , Wu Bingchen , Wei Qing , wang xinbao , Zhou Yiwen , Sun Weijing , Xu Qi , Ying Jieer
Published: July 2024

Background: The prognosis of biliary tract cancer (BTC) is poor, with limited efficacy of first-line chemotherapy. SAGC is a randomized, controlled, phase 2 trial evaluating the efficacy of sintilimab (an anti-PD-1 inhibitor) and anlotinib (an anti-angiogenic VEGF-targeted agent) combined with standard chemotherapy as a first-line treatment in advanced BTC.
Methods: Eighty eligible patients with unresectable, locally advanced, or metastatic BTC were randomized 1:1 to SAGC group (n = 40) to receive sintilimab (200 mg) and anlotinib (initial 10 mg, then adjusted for 8 mg on days 1-14) plus GC (gemcitabine 1,000 mg/m2 and cisplatin 25 mg/m2 on days 1 and 8) every 3 weeks for up to 8 cycles, followed by sintilimab and anlotinib until disease progression or unacceptable toxicity or to GC group (n = 40), respectively. The primary endpoint was progression-free survival (PFS). The secondary endpoints included the objective response rate (ORR), overall survival (OS), and safety. The AKT/YAP-induced tumor-bearing mice model was established to study effect of anlotinib on the tumor immune microenvironment at varying doses (low-dose: 3 mg/kg, high-dose: 6 mg/kg).
Results: The median follow-up was 13.4 months, and 77 of the 80 patients (96.3%) discontinued treatment. The median PFS was 8.5 months (SAGC group) and 6.2 months (GC group) (hazard ratio: 0.47 [95% CI, 0.22–0.64], P = 0.003). The ORR for the SAGC and GC groups were 51.4% and 29.4%, respectively. Overall, grade 3/4 treatment-related adverse events occurred in 75.0% (30/40) and 43.6% (17/39) of cases in the SAGC and GC groups, respectively. A post hoc analysis shown that patients in SAGC group who received 8mg (22 patients) of anlotinib daily had a higher ORR (54.5% vs. 38.8%) compared to those received 10mg (18 patients), and there was a trend towards an OS benefit (HR: 0.49 [95% CI, 0.14–1.18], P = 0.055). In vivo, the combination of low-dose anlotinib with anti-PD-1 resulted in heightened vascular pericyte coverage, improved vascular perfusion, enhanced cytotoxicity of activated T cells, and increased secretion of effector cytokines when compared to high-dose anlotinib.
Conclusion: Sintilimab and anlotinib in addition to gemcitabine plus cisplatin treatment in patients with advanced BTC significantly improved PFS and had a manageable safety profile, and the survival benefit of anlotinib 8mg group is more superior. Low‐dose anlotinib plus anti–PD-1 immune therapy may synergistically improve the antitumor response with reducing adverse effects in vivo.
Trial registration number ClinicalTrials.gov Identifier: NCT04300959.
Efficacy of a novel repairing gel therapy for the management of chronic wounds: a single-center, self-controlled pilot trial
Authors: Emadi Elaheh , Mousavian Alireza , Alamdari Daryoush Hamidi
Published: July 2024

Chronic wounds are a vital clinical challenge due to the infliction of prolonged suffering on patients, the economic burden on individuals and society, and the possibility of limb amputation, and there is a growing interest in developing effective therapeutic strategies for their management. The present research investigated the therapeutic effect of a new repairing gel on chronic wounds. Individuals who suffered from chronic wounds of various etiologies and whose wound conditions had not changed for at least 4 weeks under standard treatments were recruited. For three months, they received a repairing gel dressing, which is a cocktail of useful ingredients for wound healing. Participants had weekly follow-up visits, and their wound healing process was assessed. The healing rate and speed of wounds improved significantly after our new intervention relative to previous standard wound care (86.66% versus 13.33%). Additionally, after starting therapy, the amount of wound exudate, pain, and malodor decreased within a short period. Patients did not report any serious complications during the follow-up period. This novel repairing gel can be a safe, affordable, noninvasive, and effective therapy for chronic wounds.
Microcirculatory dysfunction in patients with acute anterior myocardial infarction combined with new complete right bundle branch block
Authors: Liu Hong , Yuan Yu , Dong Yu , Yang Ying , Yang Xitong , Sun Biao , Ma Lilan , Li Tao , Wu Xin-Hua
Published: July 2024

Objective
This study sought to investigate clinical characteristics of acute anterior ST-segment elevation myocardial infarction (STEMI) patients complicated by new complete right bundle branch block (CRBBB) and evaluate the occurrence of microcirculatory dysfunction post-percutaneous coronary intervention (PCI).
Methods
Retrospective analysis was conducted on 261 patients with acute anterior STEMI, differentiating 40 with concurrent new CRBBB (CRBBB group) from 221 without (no-CRBBB group). Data on demographics and hospitalization were collected, and clinical features and prognoses were compared. Post-PCI microcirculatory function was further characterized using the index of microcirculatory resistance (caIMR), TIMI grade flow, corrected TIMI flow frame count (CTFC) of the infarct-related artery, and ST segment regression in ECG (STR).
Results
Age, Killip class, GLUC, TG, HDL, BUN, GFR, AST, ALT, WBC, TNI at admission significantly differed between groups (P < 0.05). Incidences of in-hospital major adverse cardiovascular events and LVEF showed significant disparities (P < 0.05). The CRBBB group exhibited higher CaIMR, lower TIMI flow, and STR (P < 0.05). Multivariate analysis indicated TIMI ≤ grade 2 (OR = 6.833, 95% CI: 1.009 ~ 46.287, P = 0.049), STR ≥ 50% (OR = 0.176, 95% CI: 0.051 ~ 0.606, P = 0.006), CTFC (OR = 1.079, 95% CI: 1.009 ~ 1.155, P = 0.027), and caIMR (OR = 1.120, 95% CI: 1.059 ~ 1.185, P < 0.001)were independently linked to CRBBB post-PCI. The Killip class and CaIMR exhibited high predictive value for the development of new combined CRBBB in acute anterior STEMI, with an area under the curve of 82.5% (P < 0.001) and 78.1% (P < 0.001), respectively.
Conclusion
In patients with acute anterior STEMI, those with new CRBBB are at an increased likelihood of experiencing microcirculatory dysfunction.
Qualitative and quantitative analysis of beta-2 agonists in urine samples by ultra high performance liquid chromatography-tandem mass spectrometry
Authors: Chen Qianqian , Jin Yao , Wang Yang
Published: July 2024

Objective
Formoterol and salbutamol, β2-agonists, are listed in the Prohibited List of the World Anti-Doping Code International Standard, requiring both qualitative and quantitative analysis. To accurately determine the content of formoterol and salbutamol in urine, we developed an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method.
Methods
The samples were enzymatically hydrolyzed and extracted with organic solvents for liquid-liquid extraction, followed by purification and concentration. Qualitative and quantitative analyses were performed using tandem mass spectrometry with an electrospray ionization (ESI) source in multiple reaction monitoring mode. Results: The method demonstrated relative recovery rates between 90%-105%, matrix effects within 80–120%, and intra-day and inter-day precision below 15%.
Conclusion
This method is efficient, accurate, stable, and highly sensitive, fully meeting the detection requirements for the stimulants formoterol and salbutamol.
Unlocking Sustainability: Exploring the Nexus of Green Banking, Digital Transformation, and Financial Performance with Foreign Ownership Moderation
Authors: siswanti indra , Riyadh Hosam Alden , Cahaya Yohanes Ferry , Prowanta Embun , Beshr Baligh Ali Hasan Beshr
Published: July 2024

Banks, as institutions that are profit-oriented and play a role in development and the economy, must also pay attention to environmental and community aspects to maintain sustainability in the long term. Banking and the environment are two different things, even opposites. Banks are commercial entities, whereas the environment is not. Despite their significant differences, these two concepts interact as a sustainable chain, leading to the integration of environmental and social management aspects in financial reports, which are essential for achieving sustainability. McKinsey's 2020 suggests that digital transformation implementation can boost productivity and optimize banking capital and implementing digital transformation will reduce bank operational costs by at least 30 to 40 percent. This will certainly increase the efficiency of the banking sector itself. Therefore, the objective of this research is to empirically test and analysis the effect of green banking, digital transformation, asset quality, on the financial performance of commercial banks with foreign ownership as a moderator, and test and analysis the financial performance on sustainable business for commercial banks. This research conducted on commercial banks that classify bank groups based on core capital 3 and 4, which are listed on the Indonesia Stock Exchange, covering the period from 2017 to 2022. This research employed a saturated sample sampling technique, encompassing a total of forty-seven conventional commercial banks. Panel data regression analysis, a data analysis technique, employs three variables: the dependent variable, the independent variable, and the moderation variable. The research reveals that green banking and digital transformation significantly improve the financial performance of Indonesian commercial banks. In addition, asset quality, as measured by non-performing loans, does not affect performance. Whereas foreign ownership can strengthen the influence of green banking and digital transformation on financial performance, it does not moderate the influence of capital adequacy on financial performance. Finally, high financial performance positively impacts sustainable business, indicating that a bank's sustainability can be positively influenced by its financial performance.
Effectiveness of Using Implant Fixture as a Ridge Expander
Authors: Alrmali Abdusalam , SamavatiJame Fatemeh , Ou Alice , Lohana Danyal , Mallala Dhiraj , Wang Hom-Lay
Published: July 2024

Objectives
Adequate bone thickness around dental implants is vital for their stability and to reduce resorption. This study evaluated the ability of implant fixtures to serve as ridge expanders by measuring width changes pre- and post-implantation.
Materials and Methods
Measurements including initial alveolar bone width, post-osteotomy width, post-expansion width, and buccal bone thickness were recorded for patients undergoing implant placement. Bone quality was assessed using established criteria.
Results
Of the 102 subjects (52% male, 48% female), significant ridge width increases at 0mm and 2mm levels were noted (p < 0.05). Larger implant diameters resulted in greater ridge expansion. Absence of prior augmentation was linked to higher bone quality (B = -1.684, p = 0.001), explaining 15% of bone quality variance. Ridge expansion effects also correlated with the site, implant diameter, and design.
Conclusions
Dental implant fixtures can effectively expand the ridge, with expansion influenced by implant diameter, anatomical location, prior augmentation, and implant design. These factors must be considered for tailored treatment planning in implant dentistry.
Clinical Relevance:
This study's clinical relevance lies in its exploration of the potential benefits of dental implant fixtures can effectively to expand the ridge taking into consideration implant diameter, anatomical location, prior augmentation, and implant design.
SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion
Authors: Lv Qishen , Yang Rui , Chen Yuan , Zhou Zhexu , Zhang Chengmin , Liu Shuaihui
Published: July 2024

By fusing infrared images with visible images, it is possible to obtain more abundant and accurate information content, thereby enhancing the accuracy and application value of image information. However, existing infrared and visible image fusion methods often lack attention to the semantic information and global context information in the original images. To address these issues, we propose a novel deep learning framework for infrared and visible image fusion , which is named Semantic Segmentation Driven Infrared and Visible Image Fusion Framework (SSDFusion). Within the fusion framework, the Local Global Feature Extraction Fusion Module is employed, complemented by the decoder. Furthermore, under the guidance of semantic segmentation, SSDFusion achieves a better understanding of complex scene region information, enhancing fusion task performance. Finally, an adaptive loss function is implemented throughout SSDFusion to fine-tune the balance between the semantic segmentation task and the image fusion task by adjusting their proportional contribution. This approach aids in more accurately preserving the semantic information in the image, thereby enhancing the performance of the fusion framework. SSDFusion was evaluated on the MSRS and RoadScene datasets, and the results show that our approach exhibited better performance in many aspects.
Exploring a Novel Approach to Cybersecurity: The Role of Ecological Simulations on Cybersecurity Risk Behaviors
Authors: Abril Tiago , Gamito Pedro , Motta Carolina , Oliveira Jorge , Dias Fábio , Pinto Filipe , Oliveira Miguel
Published: July 2024

In response to the growing cybersecurity problem, this study presents an innovative approach using virtual reality to train individuals in reducing the risk of cyberattacks. The research involved 70 adult participants with or enrolled in higher education studies, who participated in a virtual reality task that simulates a typical workday in a corporate setting. The participants were divided into three groups: a control group of 24 engaged in tasks without cybersecurity threats, and two experimental groups of 23 each, with cybersecurity threats present, but one with feedback on performance and the other without feedback. The results revealed (1) that virtual reality shows promise as an effective tool to create immersive and ecological simulator experiences for cybersecurity training against cyberattacks, (2) the incorporation of feedback in real-world scenario simulators is crucial for participants to fully comprehend the complexities of cyber threats, and (3) risky behaviour within our virtual reality ecological setting, as well as age, can predict attitudes towards cybersecurity and cybercrime within organization. In conclusion, by taking advantage of this cutting-edge virtual reality approach, individuals, businesses, and governments can foster more secure cybersecurity practices, contributing to a safer digital landscape for everyone.
Racial Differences in Psychosocial Resources and Mental and Physical Health Outcomes during Pregnancy: A structural equation modeling approach
Authors: Farewell Charlotte V. , Schmiege Sarah J. , Leiferman Jenn
Published: July 2024

Objectives
Poor prenatal health is of particular concern among minoritized individuals who may experience adverse social determinants of health contributing to the intergenerational transmission of health disparities. The purpose of this study was to investigate associations between psychosocial resources, and mental and physical health among a prenatal sample, and to explore if these relationships vary by race.
Methods
English-speaking pregnant individuals living in the United States were recruited using Centiment (n=340). Participants completed a 121-item cross-sectional survey. We conducted a single- and multi-group structural equation model to test hypothesized relationships, and then investigated differences by pregnant White individuals versus Black, Indigenous, and People of Color (BIPOC).
Results
Our final single-group model exhibited good model fit (χ2 (43) = 99.07, p<.01, CFI = 0.97, SRMR = 0.04, and RMSEA = 0. 06 (0.05 - 0.08)). After controlling for demographic characteristics and social determinants of health, higher levels of mindfulness were statistically significantly related to lower anxiety and depression scores (both p<.01). Higher levels of social supports were statistically significantly related to lower anxiety scores. Scale measurement invariance was confirmed for the multi-group model and the structural model was statistically significantly different between pregnant White individuals and BIPOC in this sample (Δ χ2 (27) = 116.71, p <.01).
Conclusions
Identification of core components of psychosocial resource interventions, consideration of upstream structural determinants, mindfulness and valued-living (MVL)-based strategies, cultural adaptation, and an emphasis on resilience rather than psychopathology may result in improved prenatal health among pregnant individuals traditionally underrepresented in research.
The Effect of Baseline Thyroid Function on Weight Loss Outcomes in Euthyroid Individuals Undergoing Full Meal Replacement Therapy
Authors: Dent Robert , Cheng Ran , Bussières Alexandra , Elisha Belinda , Shiau Judy
Published: July 2024

Background Thyroid function plays a key role in regulating energy metabolism and thermogenesis, with thyroid dysfunction closely linked to alterations in body weight and composition. However, there is a lack of data on the effect of baseline thyroid function on weight loss outcomes in euthyroid individuals.Methods This study constitutes a secondary analysis utilizing prospectively collected data from a cohort study comprising individuals living with obesity (BMI > 30kg/m2 or ≥ 27 kg/m2 with comorbidities) and normal thyroid function participating in a weight management program, which incorporates full meal replacement therapy (FMR). The primary objective was to examine the association between baseline thyroid function and weight loss (WL) outcomes 6-week post-FMR initiation.Results A total of 1078 participants were included in the study: 67% female, aged 45.4±10.9 years, 64% had type 2 diabetes with an initial BMI of 45.0±7.6 kg/m2, and a baseline TSH and fT3 levels of 2.0±0.8 mIU/L and 4.5±2.6 pmol/L respectively. 6-week post-FMR initiation, there was significant correlation between the amount of WL and TSH levels (β:-0.473 IC95[-0.796; -0.150]). The percentage of WL between extreme TSH quantiles (Q1-Q5) were 8.1±1.8% vs 7.3±1.6% (p < 0.001). No correlation was found between WL and TSH levels at 12 weeks and fT3 levels at 6 and 12 weeks.Conclusion Within a cohort of euthyroid individuals living with obesity undergoing FMR, lower baseline TSH levels, not fT3 levels, were predictive of greater weight loss at 6-week. These findings suggest that this parameter might be an important weight loss outcomes predictive factor for euthyroid individuals with obesity.
Comparative study of trace metal concentration in the diagnosis of category III prostatitis
Authors: Lin Zhidi , Li Muyan , Zhang Mingjin , Gong Yimin , Gan Xiang , Liang Weiyuan , Tan Yanjun , Zhang Chong , Gao Qian , Yang Xiaoli
Published: July 2024

Background
Chronic prostatitis (CP) is one of the general diseases in daily diagnosis and treatment of urologists, especially category III prostatitis. Due to the lack of concrete causations, etiology and pathogenesis of chronic prostatitis, the diagnosis is still a distressful question for urologists.
Method
To investigate diagnostic potential of trace metals in this prostatitis, we performed analysis of concentration of zinc (Zn), copper (Cu), calcium (Ca) and magnesium (Mg) in expressed prostatic secretion (EPS) and serum of patients with category III prostatitis and healthy controls, using flame atomic absorption spectrometer (FAAS).
Results
Results showed contents of Zn, Ca and Mg in both serum and EPS samples of all subjects with category III prostatitis changed significantly compared to controls (all P<0.05), while Cu level changed in all EPS samples (P<0.000). In category IIIa prostatitis group, level of EPS Zn, Ca, Mg and serum Ca reduced significantly (all P<0.000), while level of Zn in serum raised markedly (P<0.000). In category IIIb prostatitis group, level of Zn, Ca, Mg in EPS decreased significantly (all P<0.05), level of serum Ca, Mg were lessened visibly (all P<0.000), EPS Cu level had an overt promotion (P<0.05). Moreover , ROC analysis showed Mg and Zn/Mg level in EPS had better diagnostic value in category IIIa prostatitis (AUC=0.796, 0.791, respectively, all P<0.0001); while in category IIIb prostatitis, Cu and Cu/Ca level had greater diagnostic value (AUC=0.880, 0.901, respectively, all P<0.0001).
Conclusion
Summarily, concentration of Zn, Ca, Mg plays an important role in this prostatitis, of which level of Mg, Cu, Zn/Mg, Cu/Ca in EPS may have potential diagnostic value for category III prostatitis.
Healthy Lives 5 Axis Scale for Individuals with Complex Health and Social Needs: Assessment of Validity and Reliability
Authors: White Henry , Gonzalez Peter , Shashar Sagi , Silver Zoe , Scott Hannah , Novack Victor
Published: July 2024

Background: The field of complex care management for patients with urgent health and social challenges has rapidly grown, leading to calls for improved tools for measuring quality and outcomes. Most available measures were not developed specifically for a clinical context with a population with complex needs. The Healthy Lives 5 Axis Scale (HL-5) was created to fulfill this role. This concise, multidimensional scale measures key domains, including health-related functioning, physical and social needs, capacity for self-care, access, and utilization. The purpose of this study was to determine the interrater and test-retest reliability and the construct and concurrent validity of the HL-5.
Methods: The study population includedadults who attended an appointment with a primary care physician at an urban community health center. The reliability assessment of the HL-5 questionnaire included test-retest ratings by the same scorer and between two different scorers. Criterion convergent validity was evaluated by comparing the HL-5 domains with relevant domains of external questionnaires using Pearson correlation coefficients (r). The comparison measures have a strong evidence base, are widely used, and are nonproprietary.
Results: There were 64 participants, with a mean age of 39.1. Test-Retest Reliability, measured by the intraclass coefficient (ICC), was greater than 0.8 for Functioning, Needs, Utilization, and Access, indicating very strong internal consistency and 0.754 for Self-Care, representing good internal consistency. Criterion Validity for the axes, assessed by each axis’ correlations with a criterion measure, was statistically significant at of p<0.05.
Conclusions: This study of the psychometric properties of the Healthy Lives 5 Axis Scale (HL-5) demonstrated its value for assessing patients with complex health and social needs. It showed high levels of reliability in a clinical setting with a diverse patient populations and strong correlations with well-established measures of functioning, needs, self-care, access, and utilization. HL-5 requires only a few minutes to complete and yields actionable results, demonstrating its potential for integration into the workflow of a primary care practice or care management program.
Optimizing Neonatal Care: The Advantages of Level 2 NICUs for Moderate and Late Preterm Infants
Authors: Alshaikh Belal , Murthy Prashanth , Soraisham Amuchou , Momin Sarfaraz , Mehrem Ayman Abou , Thomas Sumesh , Singhal Nalini
Published: July 2024

OBJECTIVE
To compare the length of hospital stay for moderate and late preterm infants (MLPIs) born at tertiary care (level III) perinatal centers versus secondary care perinatal centers (level II).
METHODS
This was a retrospective cohort study of MLPIs admitted to neonatal intensive care units (NICUs) in Calgary, Canada, between January 2016 and December 2017. We excluded infants with major congenital anomalies and planned palliative care. Multivariable logistic and quantile regression analyses were used to adjust for potential confounding factors.
RESULTS
Of 1958 infants who met inclusion criteria, 676 (34.5%) infants were born at a tertiary care perinatal center with a level III NICU, and 1284 (65.5%) were born in secondary care perinatal centers with a level II NICU. Infants born at level II centers had shorter durations of hospital stay (adjusted MD -1.0 day, 95% CI -1.7 to -0.4 and adjusted HR 1.15, 95% CI 1.04 to 1.28) and tube feeding (adjusted MD -2.2 day; 95% CI -2.9 to -1.4), and a higher rate of breastmilk feeding at discharge (aOR 1.34; 95%CI 1.01 to 1.77).
CONCLUSION
Delivery of MLPIs in facilities with secondary care perinatal centers is associated with shorter hospital stays and higher breastmilk feeding rates at discharge.