bluuebunny/crossref_metadata_2025 huggingface dataset:
Pseudomonas aeruginosa in the Frontline of the Greatest Challenge of Biofilm Infection—Its Tolerance to Antibiotics
Authors: Høiby Niels , Moser Claus , Ciofu Oana
Published: October 2024

P. aeruginosa biofilms are aggregates of bacteria surrounded by a self-produced matrix which binds to some antibiotics such as aminoglycosides. P. aeruginosa biofilms are tolerant to antibiotics. The treatment of biofilm infections leads to a recurrence of symptoms after finishing antibiotic treatment, although the initial clinical response to the treatment is frequently favorable. There is a concentration gradient of oxygen and nutrients from the surface to the center of biofilms. Surface-located bacteria are multiplying and metabolizing, whereas deeper located bacteria are dormant and tolerant to most antibiotics. Colistin kills dormant bacteria, and combination therapy with colistin and antibiotics which kills multiplying bacteria is efficient in vitro. Some antibiotics such as imipenem induce additional production of the biofilm matrix and of chromosomal beta-lactamase in biofilms. Biofilms present a third Pharmacokinetic/Pharmacodynamic (PK/PD) micro-compartment (first: blood, second: tissue, third: biofilm) which must be taken into consideration when calculations try to predict the antibiotic concentrations in biofilms and thereby the probability of target attainment (PTA) for killing the biofilm. Treating biofilms with hyperbaric oxygen to wake up the dormant cells, destruction of the biofilm matrix, and the use of bacteriophage therapy in combination with antibiotics are promising possibilities which have shown proof of concept in in vitro experiments and in animal experiments.
Chemical Synthesis of 6-Azido-6-Deoxy Derivatives of Phosphatidylinositol Containing Different Fatty Acid Chains
Authors: Molla Mosidur Rahaman , Gupta Palak , Rohokale Rajendra , Guo Zhongwu
Published: October 2024

This paper describes the synthesis of two 6-azido-6-deoxy derivatives of phosphatidylinositol (PI), which contained different fatty acid chains. These syntheses, starting from methyl α-d-glucopyranoside, employed multiple regioselective transformations with Ferrier rearrangement as one of the key steps. The PI derivatives contained different fatty acid chains in the lipids and an azido group in the inositol residue to facilitate their further functionalization under bioorthogonal conditions. Therefore, they should be useful probes for the investigation of PI and related biology, such as PI phosphorylation, PI interaction with other molecules in cells, and the functions of lipid structures in these processes.
Electronic Effects in Cobalt Phthalocyanine Catalysts Towards Noble-Metal-Free, Photocatalytic CO2-to-CO Reduction
Authors: Ma Fan , Lin Hong-Wei , Li Zizi , Li Wen-Jing , Wang Jia-Wei , Ouyang Gangfeng
Published: October 2024

Noble-metal-free CO2 reduction systems based on cobalt phthalocyanine (CoPc) and its derivatives have demonstrated remarkable photocatalytic performances; however, their structure-activity relationship with electronic tuning remains unexplored. Herein, we now provide a systematic study to investigate the electron effects of substituents on the CoPc family in photocatalytic CO2 reduction, where a Cu(I) heteroleptic photosensitizer is utilized. The highest performance can be achieved using cobalt tetracarboxylphthalocyanine in light-driven CO2-to-CO reduction, with a maximum turnover number of 2950 at 450 nm and an outstanding apparent quantum yield of 63.5% at 425 nm, over ten times the activity with the tetra-dimethylamino-substituted CoPc derivative. The favorable electron-withdrawing effects have been further verified by DFT calculations and cyclic voltammetry, which reduces the overpotential required for CO2 reduction and decreases the Gibbs free energy of the catalyst active intermediates, particularly the CO-desorption energetics.
Construction of Co-Modified MXene/PES Catalytic Membrane for Effective Separation and Degradation of Tetracycline Antibiotics in Aqueous Solutions
Authors: Cheng Xiaojie , Qin Xiaojun , Zhao Runxue , Chen Jiamin , Zheng Xia , Liu Ke , Xin Meixuan
Published: October 2024

The application of antibiotics has advanced modern medicine significantly. However, the abuse and discharge of antibiotics have led to substantial antibiotic residues in water, posing great harm to natural organisms and humans. To address the problem of antibiotic degradation, this study developed a novel catalytic membrane by depositing Co catalysts onto MXene nanosheets and fabricating the polyethersulfone composite (Co@MXene/PES) using vacuum-assisted self-assembly. The dual role of MXene as both a carrier for Co atoms and an enhancer of interlayer spacing led to improved flux and catalytic degradation capabilities of the membrane. Experimental results confirmed that the Co@MXene/PES membrane effectively degraded antibiotics through peroxymonosulfate activation, achieving up to 95.51% degradation at a cobalt concentration of 0.01 mg/mL. The membrane demonstrated excellent antibacterial properties, minimal flux loss after repeated use, and robust anti-fouling performance, making it a promising solution for efficient antibiotic removal and stable water treatment.
Antioxidant and Anti-Inflammatory Effects of Nettle Polyphenolic Extract: Impact on Human Colon Cells and Cytotoxicity Against Colorectal Adenocarcinoma
Authors: Wójciak Magdalena , Paduch Roman , Drozdowski Piotr , Wójciak Weronika , Żuk Magdalena , Płachno Bartosz J. , Sowa Ireneusz
Published: October 2024

Urtica dioica L. is one of the most widely utilized medicinal plants commonly applied in the form of tea, juice, and dietary supplements. This study aimed to assess the effect of the U. dioica ethanol–water extract (UdE) and polyphenolic fraction isolated from the extract (UdF) on normal human colon epithelial cells and to evaluate their protective activity against induced oxidative stress. The cytotoxic potential against human colorectal adenocarcinoma (HT29) and the anti-inflammatory effects were also investigated. UPLC-MS-DAD analysis revealed that both extracts were abundant in caffeic acid derivatives, specifically chlorogenic and caffeoylmalic acids, and therefore, they showed significant protective and ROS scavenging effects in normal human colon epithelial cells. Moreover, they had no negative impact on cell viability and morphology in normal cells and the extracts, particularly UdF, moderately suppressed adenocarcinoma cells. Furthermore, UdF significantly decreased IL-1β levels in HT29 cells. Our research indicates that U. dioica may provide significant health advantages because of its antioxidant and anti-inflammatory effects.
Discovery of Chemical Constituents with Anti-Atopic Dermatitis Properties from Aster koraiensis
Authors: Kim Ji-Young , Kim Hye-Min , Son So-Ri , An Hyo-Jin , Jang Dae Sik
Published: October 2024

Atopic dermatitis is an inflammatory dermatological disease characterized by persistent scratching and recurrent eczema. Due to the influence of environmental variables on the cause of this disease, there remains an ongoing interest in the development of therapeutic interventions. Previous studies have shown that various plants of the genus Aster and its derived phytochemicals possess efficacy in treating inflammatory-mediated diseases, including atopic dermatitis. Therefore, the present study investigated a potential compound with anti-atopic dermatitis properties derived from Aster koraiensis leaves, specifically targeting HaCaT keratinocyte cells. First, we isolated eleven compounds with three unknown compounds, including two polyacetylenes (1 and 3) and a benzoic acid derivative (4). The chemical structures of the isolates were elucidated by 1D and 2D NMR, specific rotation, acid hydrolysis, and quantum chemical calculations. Next, we treated an A. koraiensis extract and all isolates to HaCaT keratinocyte, followed by stimulation with TNF-α/IFN-γ. Among bioactive compounds, astersaponin J (7) exhibited a significant reduction in the levels of inflammatory cytokines associated with atopic dermatitis at a concentration of 2.5 μM. These findings suggest that chemicals obtained from an A. koraiensis 95% ethanol extract and derived compounds are potential therapeutics to help reduce the immunological response driven by atopic dermatitis.
Patellar Tendon Thermographic Reference Values in Healthy People: A Systematic Review
Authors: Mevi Roberto , Cabizosu Alessio
Published: October 2024

Introduction: The physiological response of the tendon structure has been the subject of several studies using clinical thermography, although the lack of normal values limits clinical practice despite being, according to several authors, an optimal diagnostic tool for the study and therapeutic monitoring of soft tissues. To this end, the aim of this systematic review was to explore all the scientific information on thermography and reference values in the patellar tendon. Method: A search was carried out in different health science databases using the MeSH terms “Health”, “Patellar Ligament”, and “Thermography” with their synonyms in free terms to collect the studies to be included in the systematic review. This review was conducted according with PRISMA guidelines and includes all of the literature up to 19 December 2023. All studies that were in accordance with the PICOS strategy in title and abstract were included in this review, while studies that performed the baseline thermographic test in an altered physiological state were excluded after reading the full text. The TISEM scale was used to assess the quality of the studies; the risk of bias was assessed with the QUADAS-2 scale. Result: A total of 6 articles was selected (n = 148); these were analyzed for quality and found to be highly heterogenous; the risk of bias was low in most domains of the QUADAS-2 scale. Discussion and Conclusion: There are several variabilities that can induce changes in the thermoregulation process distorting the thermograms. Looking deeper into the evidence behind each item, we can deduce the need to follow the TISEM protocol as closely as possible for an accurate response. The heterogeneity in the way the results were provided and the low quality in some of the studies did not allow for a reference of thermographic values to be obtained.
Nanomaterials Toward CO2 Reduction and Conversion
Authors: Camarillo Rafael
Published: October 2024

The increasing concentration of CO2 in the atmosphere is one of the main factors contributing to global climate change [...]
Application of Peptide-Conjugated Photosensitizers for Photodynamic Cancer Therapy: A Review
Authors: Vale Nuno , Ramos Raquel , Cruz Inês , Pereira Mariana
Published: October 2024

Photodynamic therapy (PDT) is a clinically approved therapeutic option for the treatment of various types of cancer. PDT calls for the application of photosensitizers (PSs) and photoactivation with a particular light wavelength while tissue oxygen is present. Anticancer efficacy depends on the combination of these three substrates leading to the generation of cytotoxic reactive oxygen species (ROS) that promote apoptosis, necrosis, and autophagy of cancer cells. However, one of the biggest problems with conventional PDT is the poor accumulation and targeting of PSs to tumor tissues, resulting in undesirable side effects and unfavorable therapeutic outcomes. To overcome this, new photosensitizers have been developed through bioconjugation and encapsulation with targeting molecules, such as peptides, allowing a better accumulation and targeting in tumor cells. Several studies have been conducted to test the efficacy of several peptide-conjugated photosensitizers and improve PDT efficacy. This review aims to present current insights into various types of peptide-conjugated photosensitizers, with the goal of enhancing cancer treatment efficacy, addressing the limitations of conventional PDT, and expanding potential applications in medicine.
First Report of Trypanosoma vivax (Duttonella), Babesia bovis and Babesia bigemina DNA in Cattle from the Galapagos Islands, Ecuador, and Its Relationship with Anaplasma marginale
Authors: Chávez-Larrea María Augusta , Cholota-Iza Cristina , Yugcha-Diaz Michelle , Ron-Román Jorge , Proaño-Pérez Freddy , Maya-Delgado Alicia , Jumbo-Moreira Jimmy , Reyna-Bello Armando , Saegerman Claude
Published: October 2024

Bovine trypanosomoses, caused by Trypanosoma vivax, is a disease present in African and South American countries. This haemoflagellate protozoan parasite, as well as Anaplasma marginale and Babesia spp., are microorganisms that have a blood tropism, mainly causing fever and anaemia, which reduces the productive capacity of dairy or meat farms. This study aimed to detect T. vivax and other blood parasites in bovine herds in the Galapagos Islands. A total of 170 blood samples from bovines in 19 farms on Santa Cruz Island (the most populated) were collected and analyzed using different PCR techniques: Da-PCR and CatL-PCR to detect Trypanosoma vivax, CatL-PCR to detect Trypanosoma theileri, ESAG-PCR to detect Trypanosoma evansi, 18S rRNA-PCR to detect Babesia spp., rap-1-PCR to detect Babesia bovis, hyp-PCR to detect Babesia bigemina, and msp5-PCR to detect A. marginale. The prevalence of T. vivax, B. bovis, B. bigemina, and A. marginale was estimated as 14.7%, 11.2%, 14.7%, and 67.1%, respectively. In this study, the presence of four haemotropic agents was evidenced in 26.3% (5/19) of the farms. Coinfected cattle (A. marginale, B. bovis and B. bigemina) had significantly higher body temperatures compared to others (two-sample Wilcoxon rank-sum test; p-value = 0.047). The molecular techniques used in this study demonstrated the presence of T. vivax and B. bovis in cattle from Santa Cruz Island in the Galapagos for the first time. The study also investigates the relationship between T. vivax, A. marginale and Babesia spp., making a significant contribution to the field of veterinary medicine.
Leveraging Optical Coherence Tomography and Angiography Artifacts to Identify Clinicopathological Correlates in Macular Disorders
Authors: Scuderi Luca , Fragiotta Serena , Ciancimino Chiara , Mafrici Marco , Mazzola Marco , Varano Monica , Rossi Tommaso , Parravano Mariacristina
Published: October 2024

Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) are pivotal imaging techniques in diagnosing and managing macular disorders, providing high-resolution cross-sectional images of the retina. Although OCT artifacts are often deemed undesirable, they can paradoxically offer valuable insights into retinal pathology. This review explores the potential of OCT and OCTA artifacts to serve as indicators of pathological correlates in various macular conditions. The study emphasizes the importance of recognizing and leveraging these artifacts to refine clinicopathologic correlates characterizing several macular disorders, including age-related macular degeneration, diabetic retinopathy, and retinal vascular occlusive disease. OCT artifacts can reflect the ultrastructure and composition of pathological features, and their recognition can thus expand the understanding of the pathogenesis and improve the diagnostic interpretation of macular disorders. With the widespread use of OCT and OCTA technologies, identifying artifacts with clinicopathologic significance is of paramount importance and may have significant implications for management and prognosis.
Correction: Hofstetter et al. Monolithically Integrated Michelson Interferometer Using an InGaAs/InAlAs Quantum Cascade Laser at λ = 4 µm. Photonics 2024, 11, 593
Authors: Hofstetter Daniel , Beck Hans , Bour David P.
Published: October 2024

There was an error in the original publication [...]
Drought-Induced Alterations in Carbon and Water Dynamics of Chinese Fir Plantations at the Trunk Wood Stage
Authors: Liu Yijun , Zhang Li , Yan Wende , Peng Yuanying , Sun Hua , Chen Xiaoyong
Published: October 2024

Over the past three decades, China has implemented extensive reforestation programs, primarily utilizing Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) in southern China, to mitigate greenhouse gas emissions and counter extreme climate events. However, the effects of drought on the carbon sequestration capacity of these forests, particularly during the trunk wood stage, remain unclear. This study, conducted in Huitong, Hunan, China, from 2008 to 2013, employed the eddy covariance method to measure carbon dioxide (CO2) and water fluxes in Chinese fir forests, covering a severe drought year in 2011. The purpose was to elucidate the dynamics of carbon and water fluxes during a drought year and across multi-normal year averages. The results showed that changes in soil water content (−8.00%), precipitation (−18.45%), and relative humidity (−5.10%), decreases in air temperature (−0.09 °C) and soil temperature (−0.79 °C), and increases in vapor pressure deficit (19.18%) and net radiation (8.39%) were found in the drought year compared to the normal years. These changes in environmental factors led to considerable decreases in net ecosystem exchange (−40.00%), ecosystem respiration (−13.09%), and gross ecosystem productivity (−18.52%), evapotranspiration (−12.50%), and water use efficiency (−5.83%) in the studied forests in the drought year. In this study, the occurrence of seasonal drought due to uneven precipitation distribution led to a decrease in gross ecosystem productivity (GEP) and evapotranspiration (ET). However, the impact of drought on GEP was greater than its effect on ET, resulting in a reduced water use efficiency (WUE). This study emphasized the crucial role of water availability in determining forest productivity and suggested the need for adjusting vegetation management strategies under severe drought conditions. Our results contributed to improving management practices for Chinese fir plantations in response to changing climate conditions.
Review of Mimusops zeyheri Sond. (Milkwood): Distribution, Utilisation, Ecology and Population Genetics
Authors: Mkhonto Christeldah , Mokgehle Salmina Ngoakoana , Mbeng Wilfred Otang , Ramarumo Luambo Jeffrey , Ndlhovu Peter Tshepiso
Published: October 2024

Mimusops zeyheri Sond. (Milkwood) is an indigenous fruit tree species with considerable ecological, cultural, and nutritional significance that remains underexploited. This review synthesizes current knowledge on its distribution, taxonomy, phytochemistry, ethnomedicinal applications, ecological functions, genetic diversity, and biotechnological potential. A systematic literature search, spanning 1949 to April 2024, yielded 87 relevant publications from an initial 155. Mimusops zeyheri plays a crucial role in supporting the cultural traditions and economic activities of Indigenous Southern African Communities. Its distribution encompasses South, East, and Southern Tropical Africa, with substantial populations across South African provinces. Ethnomedicinally, various plant parts treat conditions including wounds, gastrointestinal issues, and diabetes. The leaves (34%) and roots (32%) are used, with infusion (33%) and decoction (31%) as primary preparation methods. Oral administration (70%) is the most common, primarily addressing skin conditions (18%). Despite its nutritional richness, a standardized nutrient profile is lacking. Limited genetic diversity studies underscore the need for further research. This study highlights Mimusops zeyheri’s multifaceted importance and research gaps, particularly in other Southern African countries. Future investigations should focus on comprehensive phytochemical analysis, ethnomedicinal validation, ecological conservation, genetic diversity assessment, and biotechnological applications. Multidisciplinary collaborations are recommended to promote sustainable utilization while preserving traditional practices.
Impact of Quadriceps Muscle Fatigue on Ankle Joint Compensation Strategies During Single-Leg Vertical Jump Landing
Authors: Chen Chen , Zhou Huiyu , Xu Datao , Gao Xiangli , Xiang Liangliang , Gu Yaodong
Published: October 2024

This study investigates the impact of quadriceps fatigue on lower limb biomechanics during the landing phase of a single-leg vertical jump (SLJ) in 25 amateur male basketball players from Ningbo University. Fatigue was induced through single-leg knee flexion and extension exercises until task failure. Kinematic and dynamic data were collected pre-fatigue (PRF) and post-fatigue (POF) using the Vicon motion capture system and the AMTI force platform and analyzed using an OpenSim musculoskeletal model. Paired sample t-tests revealed significant changes in knee and hip biomechanics under different fatigue conditions, with knee joint angle (p < 0.001), velocity (p = 0.006), moment (p = 0.006), and power (p = 0.036) showing significant alterations. Hip joint angle (p = 0.002), moment (p = 0.033), and power (p < 0.001) also exhibited significant changes. Muscle activation and joint power were significantly higher in the POF condition, while joint stiffness was lower. These findings suggest that quadriceps fatigue leads to biomechanical adjustments in the knee and hip joints, which may increase the risk of injury despite aiding in landing stability.
The Power of Play: Strategies for Enhancing Development in Children with Autism Spectrum Disorders
Authors: Adochiei Felix-Constantin , Arghir Simona-Narcisa , Adochiei Ioana Raluca , Argatu Florin Ciprian , Seritan George Calin , Alexandrescu Bogdan
Published: October 2024

The increasing prevalence of autism spectrum disorder (ASD) underscores its significant impact on individuals and the importance of early intervention. ASD affects various aspects of life, including education, emotional development, and social interactions. Besides traditional therapeutic approaches, a novel strategy incorporating digital games has been introduced. Four games developed using Makey Makey and Scratch aim to enhance cognitive skills in children with ASD. This approach facilitates emotional and intellectual development, tracks progress, and offers personalized and engaging interventions. This study demonstrated significant improvements in memory and concentration among participants, with an average improvement of 23.38 points. The most notable enhancements were observed in children aged 10, who showed an average improvement of 25.67 points. Additionally, female participants exhibited a slightly higher average improvement compared to males. The Memory Maze game also effectively enhanced cognitive skills in children with different types of ADHD. Children with the Hyperactive–Impulsive type showed the highest average improvement, with 25.00 points, followed by those with the Combined type, with 24.15 points, and the Inattentive type, with 23.53 points. These findings highlight the potential use of these tools in both ASD and ADHD therapy, providing a structured and enjoyable learning environment that supports cognitive development and therapeutic outcomes.
Inductive Frequency-Coded Sensor for Non-Destructive Structural Strain Monitoring of Composite Materials
Authors: Masi Angelica , Falchi Martina , Brizi Danilo , Canicattì Eliana , Nenna Guido , Monorchio Agostino
Published: October 2024

Structural composite materials have gained significant appeal because of their ability to be customized for specific mechanical qualities for various applications, including avionics, wind turbines, transportation, and medical equipment. Therefore, there is a growing demand for effective and non-invasive structural health monitoring (SHM) devices to supervise the integrity of materials. This work introduces a novel sensor design, consisting of three spiral resonators optimized to operate at distinct frequencies and excited by a feeding strip line, capable of performing non-destructive structural strain monitoring via frequency coding. The initial discussion focuses on the analytical modeling of the sensor, which is based on a circuital approach. A numerical test case is developed to operate across the frequency range of 100 to 400 MHz, selected to achieve a balance between penetration depth and the sensitivity of the system. The encouraging findings from electromagnetic full-wave simulations have been confirmed by experimental measurements conducted on printed circuit board (PCB) prototypes embedded in a fiberglass-based composite sample. The sensor shows exceptional sensitivity and cost-effectiveness, and may be easily integrated into composite layers due to its minimal cabling requirements and extremely small profile. The particular frequency-coded configuration enables the suggested sensor to accurately detect and distinguish various structural deformations based on their severity and location.
Vehicle Localization Method in Complex SAR Images Based on Feature Reconstruction and Aggregation
Authors: Han Jinwei , Kang Lihong , Tian Jing , Jiang Mingyong , Guo Ningbo
Published: October 2024

Due to the small size of vehicle targets, complex background environments, and the discrete scattering characteristics of high-resolution synthetic aperture radar (SAR) images, existing deep learning networks face challenges in extracting high-quality vehicle features from SAR images, which impacts vehicle localization accuracy. To address this issue, this paper proposes a vehicle localization method for SAR images based on feature reconstruction and aggregation with rotating boxes. Specifically, our method first employs a backbone network that integrates the space-channel reconfiguration module (SCRM), which contains spatial and channel attention mechanisms specifically designed for SAR images to extract features. The network then connects a progressive cross-fusion mechanism (PCFM) that effectively combines multi-view features from different feature layers, enhancing the information content of feature maps and improving feature representation quality. Finally, these features containing a large receptive field region and enhanced rich contextual information are input into a rotating box vehicle detection head, which effectively reduces false alarms and missed detections. Experiments on a complex scene SAR image vehicle dataset demonstrate that the proposed method significantly improves vehicle localization accuracy. Our method achieves state-of-the-art performance, which demonstrates the superiority and effectiveness of the proposed method.
A Student Facial Expression Recognition Model Based on Multi-Scale and Deep Fine-Grained Feature Attention Enhancement
Authors: Shou Zhaoyu , Huang Yi , Li Dongxu , Feng Cheng , Zhang Huibing , Lin Yuming , Wu Guangxiang
Published: October 2024

In smart classroom environments, accurately recognizing students’ facial expressions is crucial for teachers to efficiently assess students’ learning states, timely adjust teaching strategies, and enhance teaching quality and effectiveness. In this paper, we propose a student facial expression recognition model based on multi-scale and deep fine-grained feature attention enhancement (SFER-MDFAE) to address the issues of inaccurate facial feature extraction and poor robustness of facial expression recognition in smart classroom scenarios. Firstly, we construct a novel multi-scale dual-pooling feature aggregation module to capture and fuse facial information at different scales, thereby obtaining a comprehensive representation of key facial features; secondly, we design a key region-oriented attention mechanism to focus more on the nuances of facial expressions, further enhancing the representation of multi-scale deep fine-grained feature; finally, the fusion of multi-scale and deep fine-grained attention-enhanced features is used to obtain richer and more accurate facial key information and realize accurate facial expression recognition. The experimental results demonstrate that the proposed SFER-MDFAE outperforms the existing state-of-the-art methods, achieving an accuracy of 76.18% on FER2013, 92.75% on FERPlus, 92.93% on RAF-DB, 67.86% on AffectNet, and 93.74% on the real smart classroom facial expression dataset (SCFED). These results validate the effectiveness of the proposed method.
High-Resolution Infrared Reflectance Distribution Measurement Under Variable Temperature Conditions
Authors: Yang Yujian , Li Yao , Huang Ang , Meng Fanshan , Wang Jinghui , Dong Wei , Li Yiwen
Published: October 2024

The bidirectional reflectance distribution function (BRDF) can effectively characterize the reflectance properties of a target, which can be used to correct infrared remote sensing data and improve the accuracy of remote sensing measurements. When the surface temperature changes, the reflectance characteristics of the target usually change, and it is necessary to carry out BRDF measurements under variable temperature conditions. In this paper, a variable-temperature infrared BRDF measurement system based on a robotic arm is developed to realize high-resolution wide-temperature region measurement of BRDF. To improve the measurement accuracy, the shaping optical path was used to expand the laser beam, combined with the laser level to accurately adjust the three-dimensional coordinates of the robotic arm, and the dichotomy method is used to calibrate the detector nonlinearly. A portable heater suitable for the mechanical arm corner mechanism is developed, and fast and high-precision temperature control is realized by proportional integral derivative (PID) control. The specular and diffuse BRDF distributions were measured at room temperature to verify the effectiveness of the system. The BRDF distribution of SUS314 stainless steel samples with different roughness is measured during two temperature increases from 20 °C to 1000 °C, and the changing rule of BRDF under variable temperature environment is summarized, which provides technical support for evaluating the optical properties of high-temperature materials and improving the measurement accuracy of remote sensing data.
Direct Current to Digital Converter (DIDC): A Current Sensor
Authors: Karimpour Saeid , Sekyere Michael , Bruce Isaac , Darko Emmanuel Nti , Chen Degang , McAndrew Colin C. , Garrity Doug , Jin Xiankun , Hatirnaz Ilhan , He Chen
Published: October 2024

This paper introduces a systematic approach to the design of Direct Current-to-Digital Converter (DIDC) specifically engineered to overcome the limitations of traditional current measurement methodologies in System-on-Chip (SoC) designs. The proposed DIDC addresses critical challenges such as high power consumption, large area requirements, and the need for intermediate analog signals. By incorporating a current mirror in a cascode topology and managing the current across multiple binary-sized branches with the Successive Approximation Register (SAR) logic, the design achieves precise current measurement. A simple comparator, coupled with an isolation circuit, ensures accurate and reliable sensing. Fabricated using the TSMC 180 nm process, the DIDC achieves 8-bit precision without the need for nonlinearity calibration, showcasing remarkable energy efficiency with an energy per conversion of 1.52 pJ, power consumption of 117 µW, and a compact area of 0.016 mm². This innovative approach not only reduces power consumption and area, but also provides a scalable and efficient solution for next-generation semiconductor technologies. The ability to conduct online measurements during both standard operations and in-field conditions significantly enhances the performance and reliability of SoCs, making this DIDC a promising advancement in the field.
MDAR: A Multiscale Features-Based Network for Remotely Measuring Human Heart Rate Utilizing Dual-Branch Architecture and Alternating Frame Shifts in Facial Videos
Authors: Zhang Linhua , Ren Jinchang , Zhao Shuang , Wu Peng
Published: October 2024

Remote photoplethysmography (rPPG) refers to a non-contact technique that measures heart rate through analyzing the subtle signal changes of facial blood flow captured by video sensors. It is widely used in contactless medical monitoring, remote health management, and activity monitoring, providing a more convenient and non-invasive way to monitor heart health. However, factors such as ambient light variations, facial movements, and differences in light absorption and reflection pose challenges to deep learning-based methods. To solve these difficulties, we put forward a measurement network of heart rate based on multiscale features. In this study, we designed and implemented a dual-branch signal processing framework that combines static and dynamic features, proposing a novel and efficient method for feature fusion, enhancing the robustness and reliability of the signal. Furthermore, we proposed an alternate time-shift module to enhance the model’s temporal depth. To integrate the features extracted at different scales, we utilized a multiscale feature fusion method, enabling the model to accurately capture subtle changes in blood flow. We conducted cross-validation on three public datasets: UBFC-rPPG, PURE, and MMPD. The results demonstrate that MDAR not only ensures fast inference speed but also significantly improves performance. The two main indicators, MAE and MAPE, achieved improvements of at least 30.6% and 30.2%, respectively, surpassing state-of-the-art methods. These conclusions highlight the potential advantages of MDAR for practical applications.
Youth Photographed: Methodologies for Visual Analysis
Authors: Saa-Espinoza Marcela , Aguilera-Ruiz Oscar
Published: October 2024

In this article, we propose a methodological reflection based on the work with photographs of youth published in print media in Chile during the 20th century. We use our proposal for qualitative analysis, which includes intentional work with visual culture, the creation of our own archives, and the development of tools for individual and group analysis of photographs. We propose two specific strategies for the analysis of photographs: the first is “layered analysis”, and the second is “group or panel analysis”, which allows for linking images, culture, and youth. We trust that this methodological reflection will contribute to the study of youth and stimulate debate in the field of study itself.
The Participation of Children and Young People in the Child Protection System: A Systematic Review
Authors: Costa Maria João , Sani Ana Isabel
Published: October 2024

Objectives: This study aims to investigate children’s experiences regarding their involvement in the justice system and explore the different facets of their participation, the mechanisms and practices applied, and criticisms and improvements to the justice system. Materials and Methods: A systematic review was conducted through consultation with EBSCO, Web of Science, Pubmed, and PsycArticles. Five articles were included to understand the perspectives of professionals, children, and young people regarding their participation in the justice system. Results: The children and young people involved in the justice system have negative experiences with its professionals, who doubt their ability to understand, devaluing their opinions. The children give up expressing their experiences, reducing participation and creating barriers with professionals. The children say that greater encouragement from judges reduces stress and makes the process more comfortable, increasing their participation. The professionals reveal that the mechanisms used in the system reinforced this lack of participation, despite its initial objective of integrating and including children and young people in the justice system. In general, the child’s legal guardians are better informed about their rights and procedures and have a greater opportunity to give their opinions than children and young people. Conclusions: Despite the advancement and improvement in procedures and mechanisms used to ensure children’s participation, they still have negative experiences about the system itself and the professionals, which reduces their participation.
Optical and Amplified Spontaneous Emission Properties of 4H-Pyran-4-Ylidene-2-Cyanoacetate Fragment Containing 2-Cyanoacetic Acid Derivative in PVK, PSU, or PS Matrix
Authors: Paulsone Patricija , Pervenecka Julija , Zarins Elmars , Kokars Valdis , Vembris Aivars
Published: October 2024

Organic solid-state lasers are highly promising devices known for their low-cost fabrication processes and compact sizes and the tunability of their emission spectrum. These lasers are in high demand across various industries including biomedicine, sensors, communications, spectroscopy, and military applications. A key requirement for light-emitting materials used in a light-amplifying medium is a low threshold value of the excitation energy of the amplified spontaneous emission (ASE). A newly synthesized non-symmetric red-light-emitting laser dye, Ethyl 2-(2-(4-(bis(2-(trityloxy)ethyl)amino)styryl)-6-tert butyl-4H-pyran-4-ylidene)-2-cyanoacetate (KTB), has shown great promise in meeting this requirement. KTB, with its attached bulky trityloxyethyl groups, has the ability to form amorphous thin films from a solution using a wet-casting method. Recent experiments have demonstrated that KTB exhibits a low ASE threshold value. This study focused on investigating the optical and amplified spontaneous emission properties of KTB in poly(N-vinylcarbazole) (PVK), polysulfone (PSU), and polystyrene (PS) matrices at various concentrations. The results showed that as the concentration of the dye increased, a redshift of the photoluminescence and ASE spectra occurred due to the solid-state solvation effect. The lowest ASE threshold value of 9 µJ/cm2 was achieved with a 20 wt% concentration of KTB in a PVK matrix, making it one of the lowest excitation threshold energies reported to date.
Channel Interaction and Transformer Depth Estimation Network: Robust Self-Supervised Depth Estimation Under Varied Weather Conditions
Authors: Liu Jianqiang , Guo Zhengyu , Ping Peng , Zhang Hao , Shi Quan
Published: October 2024

Monocular depth estimation provides low-cost environmental information for intelligent systems such as autonomous vehicles and robots, supporting sustainable development by reducing reliance on expensive, energy-intensive sensors and making technology more accessible and efficient. However, in practical applications, monocular vision is highly susceptible to adverse weather conditions, significantly reducing depth perception accuracy and limiting its ability to deliver reliable environmental information. To improve the robustness of monocular depth estimation in challenging weather, this paper first utilizes generative models to adjust image exposure and generate synthetic images of rainy, foggy, and nighttime scenes, enriching the diversity of the training data. Next, a channel interaction module and Multi-Scale Fusion Module are introduced. The former enhances information exchange between channels, while the latter effectively integrates multi-level feature information. Finally, an enhanced consistency loss is added to the loss function to prevent the depth estimation bias caused by data augmentation. Experiments on datasets such as DrivingStereo, Foggy CityScapes, and NuScenes-Night demonstrate that our method, CIT-Depth, exhibits superior generalization across various complex conditions.
Use of Renewable Energy to Enhance Firm Performance: A Systematic Review
Authors: Sitompul Hendrik , Saifi Muhammad , Hutahayan Benny , Sunarti
Published: October 2024

This study employs a Systematic Literature Review (SLR) combined with bibliometric and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodologies to investigate the factors influencing the use of renewable energy in enhancing firm performance. An analysis of 27 selected articles reveals three key factors: firm innovation, governance, and regulation. The study further emphasizes the benefits of renewable energy adoption across various business performance metrics, including firm profit, financial, logistics, and sustainable performance. The novelty of this paper lies in its comprehensive integration of bibliometrics analysis with PRISMA to bridge gaps in existing literature. It contributes to the field by offering insights into the complex relationship between renewable energy use and firm performance, underscoring the significance of continued investigation to resolve inconsistencies and deepen understanding.
Systems Thinking Principles for Making Change
Authors: Reynolds Martin
Published: October 2024

Traditionally, systems thinking support has relied on an ever-increasing plethora of systems tools, methods, and approaches. Arguably though, such support requires something different from, and more accessible than, detailed instruction on somewhat abstract laws and detailed principles and/or constitutive rules associated with conventional systems approaches or systems ‘tools of the trade’. For busy managers and decision makers working in often-stressful conditions, what is perhaps more valued are simple principles for enabling systems thinking in practice. Such principles should acknowledge and build on existing (multi)disciplinary skill sets and expertise, allowing for more meaningful interdisciplinary support amongst professions, as part of a nested transdisciplinary support for addressing wider social challenges. This monograph offers three principles of systems thinking in practice (STiP): relational STiP, perspective STiP, and adaptive STiP. They each have two sets of operational principles applicable to first-order and second-order practice, respectively. The three general principles are nested in an overriding principle of STiP as praxis (theory-informed action or thinking in practice) manifest in the need for being both systemic and systematic. The three principles represent a distilled expression of a systematic literacy of systems thinking, a literacy that speaks to the systemic sensibilities of Inter-relationships, Perspectives, and Boundaries (sometimes referred collectively as IPB), associated with any area of intervention. Drawing on metaphors of bricolage, conversation, and performance, and building on philosophical foundations of boundary critique, the three principles provide for a requisite systems literacy (as an emergent property of systemic sensibilities and systems thinking literacy) for enabling appropriate STiP capabilities to flourish when making a meaningful change.
Knowledge Spillovers and Integrated Circuit Innovation Ecosystem Resilience: Evidence from China
Authors: Zhou Shiyu , Xu Xueguo , Liu Fengmei
Published: October 2024

A resilient innovation ecosystem is an important guarantee for enhancing industrial competitiveness. Knowledge spillover is the key driving force to enhance system resilience. Firstly, we use the MEREC-CoCoSo method to calculate the resilience level of the integrated circuit (IC) innovation ecosystem and analyze the evolution trajectory of the resilience before and after the emergence of the “stuck-neck” problem. Secondly, based on the panel data of 30 provinces (autonomous regions and municipalities directly under the central government) in China from 2011 to 2021, this paper analyzes the mechanism of the impact of intra-regional knowledge spillovers on the resilience of IC innovation ecosystems using the fixed-effect model and analyzes the spatial effect of inter-regional knowledge spillovers on the resilience of innovation ecosystems using the spatial Durbin model under the human capital matrix. Finally, we analyze the regulating role of contractual and relational governance mechanisms and try to open the “black box” of governance. The result shows the following: (1) The polarization of innovative ecosystem resilience of integrated circuits is gradually increasing, with strong spatial agglomeration, high–high agglomeration, low–low agglomeration, and low–high dispersion, and there is an obvious “matthew effect” and “siphon effect”. (2) Both intra- and inter-regional knowledge spillovers contribute significantly to the resilience of IC innovation ecosystems. The contractual governance mechanism can effectively enhance the impact of knowledge spillovers on the resilience of innovation ecosystems in the region, and the relational governance mechanism has a positive impact on the resilience of innovation ecosystems in neighboring regions. (3) Heterogeneity results show that knowledge spillovers within the Pan-PRD region have a significant positive impact on innovation ecosystem resilience. Knowledge spillovers between regions with low innovation capacity have a double effect on innovation ecosystem resilience, and knowledge spillovers between regions with “talent highlands” have a facilitating effect on innovation ecosystem resilience. Accordingly, policy recommendations are put forward to open up channels for innovation knowledge spillover, realize effective allocation of innovation resources, and optimize the system of innovation talents.
AI-Enabled Multi-Mode Electronic Information Innovation Practice Teaching Reform Prediction and Exploration in Application-Oriented Universities
Authors: Chen Ying , Bao Jianrong , Weng Geqi , Shang Yanhai , Liu Chao , Jiang Bin
Published: October 2024

In view of professional learning and practical training in traditional electronic information education of application-oriented universities, this paper constructs electronic information–innovation practice teaching reform (EI-IPTR).In this scheme, by an integrating artificial intelligence (AI)-enabled curriculum with a multi-mode integrated platform and open-style module, big data-based comprehensive education resources are optimally configured. We jointly perform the multi-mode construction of innovative practice teaching, professional education stage design, and teaching management improvement, respectively. Subsequently, new practice teaching mechanisms with information technology and its implementation and management methods are established to achieve better teaching effects. It first strengthens learning and intra-group competition to promote students’ innovation in competitions. Then, the AI technique, i.e., attention mechanism-aided long short-term memory (LSTM), is used to model individual students’ abilities. Thus, it accurately evaluates them for teachers to efficiently manage their teaching process in accordance with their aptitude. The teaching reform practice verifies that the AI-enabled big data optimization of teaching reform has a better effect by the above multi-mode innovation. It exhibits an obvious improvement in the quantity and quality of students’ professional knowledge, personal ability, teamwork, and innovative practice. It is also in accordance with the independent completion of practical course teaching in the analysis of big education data. In addition, it realizes high-quality practical teaching by combining multi-mode, multi-level, and open discipline foundations together with efficient, professional skills.