bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing a Mobile Health Platform for Effective Medical Records Management in Hospitals
Authors: Chithambaram Yuvarajan , Priya Nithya , Ganesh Bhooma Devi 
Published: July 2024

Abstract

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

Abstract

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

Abstract

—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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.