bluuebunny/crossref_metadata_2025 huggingface dataset:
High Fecal Prevalence of mcr-Positive Escherichia coli in Veal Calves at Slaughter in France
Authors: Um Maryse Michèle , Dupouy Véronique , Arpaillange Nathalie , Bièche-Terrier Clémence , Auvray Frédéric , Oswald Eric , Brugère Hubert , Bibbal Delphine
Published: August 2022

The aim of this study was to determine the percentage of healthy veal calves carrying mcr-positive E. coli strains at the time of slaughter in France. Fecal samples were selectively screened for mcr-positive E. coli isolates using media supplemented with colistin. Screening for mcr genes was also carried out in E. coli isolates resistant to critically important antimicrobials used in human medicine recovered from the same fecal samples. Overall, 28 (16.5%) out of the 170 veal calves tested carried mcr-positive E. coli. As some calves carried several non-redundant mcr-positive strains, 41 mcr-positive E. coli were recovered. Thirty-one and seven strains were positive for mcr-1 and mcr-3 genes, respectively, while no strain was positive for the mcr-2 gene. Co-carriage of mcr-1 and mcr-3 was identified in three strains. All mcr-positive E. coli isolates, except one, were multidrug-resistant, with 56.1% being ciprofloxacin-resistant and 31.7% harboring blaCTX-M genes. All mcr-3-positive E. coli carried blaCTX-M genes, mainly blaCTX-M-55. This study highlights the high prevalence of mcr-positive E. coli strains in feces of veal calves at the time of slaughter. It also points out the multidrug (including ciprofloxacin) resistance of such strains and the co-occurrence of mcr-3 genes with blaCTX-M-55 genes.
Control of Healthcare-Associated Carbapenem-Resistant Acinetobacter baumannii by Enhancement of Infection Control Measures
Authors: Wong Shuk-Ching , Chau Pui-Hing , So Simon Yung-Chun , Lam Germaine Kit-Ming , Chan Veronica Wing-Man , Yuen Lithia Lai-Ha , Au Yeung Christine Ho-Yan , Chen Jonathan Hon-Kwan , Ho Pak-Leung , Yuen Kwok-Yung , Cheng Vincent Chi-Chung
Published: August 2022

Antimicrobial stewardship and infection control measures are equally important in the control of antimicrobial-resistant organisms. We conducted a retrospective analysis of the incidence rate of hospital-onset carbapenem-resistant Acinetobacter baumannii (CRAB) infection (per 1000 patient days) in the Queen Mary Hospital, a 1700-bed, university-affiliated teaching hospital, from period 1 (1 January 2007 to 31 December 2013) to period 2 (1 January 2014 to 31 December 2019), where enhanced infection control measures, including directly observed hand hygiene before meal and medication rounds to conscious patients, and the priority use of single room isolation, were implemented during period 2. This study aimed to investigate the association between enhanced infection control measures and changes in the trend in the incidence rate of hospital-onset CRAB infection. Antimicrobial consumption (defined daily dose per 1000 patient days) was monitored. Interrupted time series, in particular segmented Poisson regression, was used. The hospital-onset CRAB infection increased by 21.3% per year [relative risk (RR): 1.213, 95% confidence interval (CI): 1.162–1.266, p < 0.001], whereas the consumption of the extended spectrum betalactam-betalactamase inhibitor (BLBI) combination and cephalosporins increased by 11.2% per year (RR: 1.112, 95% CI: 1.102–1.122, p < 0.001) and 4.2% per year (RR: 1.042, 95% CI: 1.028–1.056, p < 0.001), respectively, in period 1. With enhanced infection control measures, the hospital-onset CRAB infection decreased by 9.8% per year (RR: 0.902, 95% CI: 0.854–0.953, p < 0.001), whereas the consumption of the extended spectrum BLBI combination and cephalosporins increased by 3.8% per year (RR: 1.038, 95% CI: 1.033–1.044, p < 0.001) and 7.6% per year (RR: 1.076, 95% CI: 1.056–1.097, p < 0.001), respectively, in period 2. The consumption of carbapenems increased by 8.4% per year (RR: 1.84, 95% CI: 1.073–1.094, p < 0.001) in both period 1 and period 2. The control of healthcare-associated CRAB could be achieved by infection control measures with an emphasis on directly observed hand hygiene, despite an increasing trend of antimicrobial consumption.
One-Year Changes in Urinary Microbial Phenolic Metabolites and the Risk of Type 2 Diabetes—A Case-Control Study
Authors: Marhuenda-Muñoz María , Domínguez-López Inés , Laveriano-Santos Emily P. , Parilli-Moser Isabella , Razquin Cristina , Ruiz-Canela Miguel , Basterra-Gortari Francisco Javier , Corella Dolores , Salas-Salvadó Jordi , Fitó Montserrat , Lapetra José , Arós Fernando , Fiol Miquel , Serra-Majem Lluis , Pintó Xavier , Gómez-Gracia Enrique , Ros Emilio , Estruch Ramon , Lamuela-Raventós Rosa M.
Published: August 2022

The intake of polyphenols has been associated with a risk reduction of type 2 diabetes. Nevertheless, to the best of our knowledge, the molecules that might be metabolically active after ingestion are only starting to be investigated regarding this metabolic disease. To investigate the association between one-year changes in urinary microbial phenolic metabolites (MPM) and the incidence of type 2 diabetes, we performed a case-control study using data and samples of the PREDIMED trial including 46 incident type 2 diabetes cases of 172 randomly selected participants. Eight urinary MPMs were quantified in urine by liquid chromatography coupled to mass spectrometry and used to assess their associations with type 2 diabetes risk by multivariable logistic regression models. Compared to participants in the lowest tertile of one-year changes in hydroxybenzoic acid glucuronide, those in the highest tertile had a significantly lowered probability of developing type 2 diabetes (OR [95% CI], 0.39 [0.23–0.64]; p < 0.001 for trend). However, when additionally adjusting for fasting plasma glucose, the statistical significance was lost. Changes in the dietary pattern can increase the concentrations of this compound, derived from many (poly)phenol-rich foods, and might be changing the gut microbial population as well, promoting the production of the metabolite.
Relationships among Work-Related Affective Feelings in Employees, Determined through Partial Least Squares Structural Equation Modeling (PLS-SEM)
Authors: Aljuaid Awad , Alhujailli Ashraf , Çakıt Erman , Karwowski Waldemar , Jaworek Magdalena Anna , Marek Tadeusz , Murata Atsuo
Published: August 2022

Feelings significantly affect organizations in a variety of circumstances and areas. Many major events that affect people and organizations cannot be discussed without an understanding of the essential roles of feelings. In addition, work-related feelings can substantially affect employees’ health, well-being, productivity, and performance. The purposes of this research were (1) to validate the work-related affective feelings (WORAF) questionnaire in Arabic respondents, (2) to examine the relationships among four WORAF: happiness, anxiety, anger, and dejection, and (3) to compare the model results with those in Turkish respondents participating in a previous study. A survey with the following four components was conducted: (1) work-related feelings of happiness, (2) work-related feelings of anxiety, (3) work-related feelings of anger, and (4) work-related feelings of dejection. A paper-based survey was completed by 332 workers from various companies in Saudi Arabia. The key components of the research model were developed with partial least squares structural equation modeling (PLS-SEM). According to the findings, workplace dejection and anger considerably affected workplace anxiety. Similarly, work-related dejection, anger, and anxiety significantly affected perceived happiness. A comparison indicated similar results between Arabic and Turkish respondents.
Nucleofection as an Efficient Method for Alpha TC1-6 Cell Line Transfection
Authors: Đorđević Marija , Paunović Verica , Jovanović Tucović Maja , Tolić Anja , Rajić Jovana , Dinić Svetlana , Uskoković Aleksandra , Grdović Nevena , Mihailović Mirjana , Marković Ivanka , Arambašić Jovanović Jelena , Vidaković Melita
Published: August 2022

An efficient transfection is a crucial step for the introduction of epigenetic modification in host cells, and there is a need for an optimized transfection process for individual model systems separately. Mouse pancreatic αTC1-6 cells, which act as an attractive model system for epigenetic cell reprogramming and diabetes treatment, were transiently transfected with two different transfection methods: the chemical method with polyethyleneimine (PEI) and nucleofection as a physical transfection method. Flow cytometry and fluorescent microscopy examination of GFP expression showed that transfection efficiency was affected by the size of plasmids using both transfection methods. Subsequently, the Cas9 mRNA expression confirmed successful transfection with EpiCRISPR plasmid, whereas the cell physiology remained unchanged. The adjusted nucleofection protocol for αTC1-6 cells transfected with an EpiCRISPR mix of plasmids reached 71.1% of GFP-positive transfected cells on the fifth post-transfection day and proved to be much more efficient than the 3.8% GFP-positive PEI transfected cells. Modifying the protocol, we finally specify CM-156 program and SF 4D-Nucleofector X Solutions for Amaxa™ nucleofection as a method of choice for alpha TC1-6 cell line transfection.
Development of TiO2-Based Photocatalyst Supported on Ceramic Materials for Oxidation of Organic Pollutants in Liquid Phase
Authors: Danfá Sadjo , Oliveira Cátia , Santos Regina , Martins Rui C. , Quina Margarida M. J. , Gomes João
Published: August 2022

Water scarcity is one of the major concerns of this century. The photocatalysis through TiO2 can be suitable for improving liquid wastewater treatment. However, TiO2 is used as a powder (nanoparticles), which is a drawback for full-scale applications. To overcome this, in the present work, powder TiO2 was impregnated on ceramic material. Several parameters, such as support cleanliness, support load, TiO2 suspension concentration, powder dispersion in a solvent, contact method, and drying temperature, were evaluated on the impregnation method. The influence of TiO2 concentration in suspensions was tested from 1 to 10% w/w. The results showed that the preparation conditions impact the TiO2 impregnation yield. The 10%TiO2/Leca was the most effective in photocatalysis but had a relevant loss of TiO2 from the support by erosion. For 3.6%TiO2/Leca and 5%TiO2/Leca, at TiO2 concentrations of 86.6 and 102.5 mg/L promoted 71 to 85% of sulfamethoxazole removal in 6 h under UVA radiation, respectively. Scanning electron microscopy (SEM) revealed the TiO2 adhesion onto the surface of the ceramic material, and the thickness of the TiO2 layer over the support can attain 7.64 to 10.9 μm. The work showed that the TiO2 impregnation method over Leca could be suitable for obtaining cost-effective photocatalysts.
Application of Machine Learning in the Field of Intraoperative Neurophysiological Monitoring: A Narrative Review
Authors: Park Dougho , Kim Injung
Published: August 2022

Intraoperative neurophysiological monitoring (IONM) is being applied to a wide range of surgical fields as a diagnostic tool to protect patients from neural injuries that may occur during surgery. However, several contributing factors complicate the interpretation of IONM, and it is labor- and training-intensive. Meanwhile, machine learning (ML)-based medical research has been growing rapidly, and many studies on the clinical application of ML algorithms have been published in recent years. Despite this, the application of ML to IONM remains limited. Major challenges in applying ML to IONM include the presence of non-surgical contributing factors, ambiguity in the definition of false-positive cases, and their inter-rater variability. Nevertheless, we believe that the application of ML enables objective and reliable IONM, while overcoming the aforementioned problems that experts may encounter. Large-scale, standardized studies and technical considerations are required to overcome certain obstacles to the use of ML in IONM in the future.
Using Blockchain to Protect 3D Printing from Unauthorized Model Tampering
Authors: Wang Yajing , Yang Yaodong , Suo Shuaipeng , Wang Mingyuan , Rao Weifeng
Published: August 2022

As three-dimensional (3D) printing technology is widely used, security issues have arisen, especially in the terminal parts of automobiles, aircraft, and 3D-printed military equipment. If the original design models or the STL (stereolithography) files are hacked or tampered, severe consequences can be anticipated. In this paper, we propose a demonstration to use a high-throughput blockchain to store the “fingerprints” of the 3D model and verify the “fingerprints” before printing to prevent illegal tampering. Relying on the tamper-resistant features of blockchain, the security of the model and the credibility of the terminal components can be ensured. The combination of blockchain and 3D printing will help people to build a trusted manufacturing environment and realize a more flexible manufacturing for future industry.
Experimental and Implementation of a 15 × 10 TEG Array of a Thermoelectric Power Generation System Using Two-Pass Flow of a Tap Water Pipeline Based on Renewable Energy
Authors: Qasim Mohammed A. , Velkin Vladimir I. , Shcheklein Sergey E.
Published: August 2022

At the present time, the entire world is suffering from global climate change due to emissions caused by the combustion of fossil fuels. Thus, it is necessary to look for alternative power sources to generate clean electrical energy. Thermoelectric generators (TEG) are one of these alternatives. They convert thermal energy into useful electricity. There are many thermal energy sources such as hot water pipes. The current paper aims to convert waste heat from solar water-fed hot water pipes into electricity using a TEG panel made from 15 × 10 TEG modules. A pipe through which hot water flows serves as the hot side of the panel. The cold side of the panel is cooled using normal tap water. The maximum recorded temperature difference is 42.35 °C which yields an open-circuit voltage of 15.3 V. The maximum efficiency of the panel is 2.1% with an average energy production of 1.435 kWh. This proposed novel TEG panel system can be used continuously day and night. This is in contrast to a solar system, which operates only during the day, as it relies solely on solar radiation.
Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis
Authors: Ahmed Hamza Manar , Abdullah Mengash Hanan , Alotaibi Saud S. , Hassine Siwar Ben Haj , Yafoz Ayman , Althukair Fahd , Othman Mahmoud , Marzouk Radwa
Published: August 2022

A brain tumor (BT) is an abnormal development of brain cells that causes damage to the nerves and blood vessels. An accurate and early diagnosis of BT is important to prevent future complications. Precise segmentation of the BT provides a basis for surgical and planning treatment to physicians. Manual detection utilizing MRI images is computationally difficult. Due to significant variation in their structure and location, viz., ambiguous boundaries and irregular shapes, computerized tumor diagnosis is still a challenging task. The application of a convolutional neural network (CNN) helps radiotherapists categorize the types of BT from magnetic resonance images (MRI). This study designs an evolutional algorithm with a deep learning-driven brain tumor MRI image classification (EADL-BTMIC) model. The presented EADL-BTMIC model aims to accurately recognize and categorize MRI images to identify BT. The EADL-BTMIC model primarily applies bilateral filtering (BF) based noise removal and skull stripping as a pre-processing stage. In addition, the morphological segmentation process is carried out to determine the affected regions in the image. Moreover, sooty tern optimization (STO) with the Xception model is exploited for feature extraction. Furthermore, the attention-based long short-term memory (ALSTM) technique is exploited for the classification of BT into distinct classes. To portray the increased performance of the EADL-BTMIC model, a series of simulations were carried out on the benchmark dataset. The experimental outcomes highlighted the enhancements of the EADL-BTMIC model over recent models.
The FaaS-Based Cloud Agnostic Architecture of Medical Services—Polish Case Study
Authors: Augustyn Dariusz R. , Wyciślik Łukasz , Sojka Mateusz
Published: August 2022

In this paper, the authors, based on a case study of the Polish healthcare IT system being deployed to the cloud, show the possibilities for limiting the computing resources consumption of rarely used services. The architecture of today’s developed application systems is often based on the architectural style of microservices, where individual groups of services are deployed independently of each other. This is also the case with the system under discussion. Most often, the nature of the workload of each group of services is different, which creates some challenges but also provides opportunities to make optimizations in the consumption of computing resources, thus lowering the environmental footprint and at the same time gaining measurable financial benefits. Unlike other scaling methods, such as those based on MDP and reinforcement learning in particular, which focus on system load prediction, in this paper, the authors propose a reactive approach in which any, even unpredictable, change in system load may result in a change (autoscaling) in the number of instances of computing processes so as to adapt the system to the current demand for computing resources as soon as possible. The authors’ main motivation for undertaking the study is to observe the growing interest in implementing FaaS technology in systems deployed to production in many fields, but with relatively little adoption in the healthcare field. Thus, as part of the research conducted here, the authors propose a solution for infrequently used services enabling the so-called scale-to-zero feature using the FaaS model implemented by the Fission tool. This solution is at the same time compatible with the cloud-agnostic approach which in turn helps avoid so-called cloud computing vendor lock-in. Using the example of the system in question, quantitative experimental results showing the savings achieved are presented, proving the justification for this novel implementation in the field of healthcare IT systems.
A Systematic Literature Review on Controlled-Environment Agriculture: How Vertical Farms and Greenhouses Can Influence the Sustainability and Footprint of Urban Microclimate with Local Food Production
Authors: Vatistas Christos , Avgoustaki Dafni Despoina , Bartzanas Thomas
Published: August 2022

The rapidly growing population and increasing urbanization have created the need to produce more food and transport it safely to urban areas where the majority of global consumers live. Open-field agriculture and food distribution systems have a lot of food waste, and, in parallel, the largest percentage of available arable land is already occupied. In most cases, food produced by compatible agricultural methods needs to be frozen and travel several miles until it reaches the consumer, with high amounts of greenhouse gas (GHG) emissions produced by this process, making it an unsustainable method with huge amounts of CO2 emissions related with fresh food products. This research contains an extensive literature review based on 165 international publications (from 2006–2022) describing and analyzing the efficiency and impact of controlled-environment agriculture (CEA) methods, and more precisely, greenhouses (GHs) and vertical farms (VFs), in the environmental footprint of food production and consumption. Based on various publications, we could draw the conclusion that VFs could highly influence a greener transition to the sustainability of urban consumption with reduced CO2 emissions sourcing from food transportation and limited post-harvest processes. However, there is a significant demand for further energy efficiency, specifically when it comes to artificial lighting operations inside VFs. A large-scale implementation of VFs that operate with renewable energy sources (RES) could lead to significant urban decarbonization by providing the opportunity for integrated energy–food nexus systems. Under this direction, VFs could optimize the way that cities interact with meeting the food and energy demand in densely urbanized areas.
RSS-Based Wireless LAN Indoor Localization and Tracking Using Deep Architectures
Authors: Karakusak Muhammed Zahid , Kivrak Hasan , Ates Hasan Fehmi , Ozdemir Mehmet Kemal
Published: August 2022

Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop deep learning-based approaches for indoor localization and tracking by utilizing Received Signal Strength (RSS). The study proposes Multi-Layer Perceptron (MLP), One and Two Dimensional Convolutional Neural Networks (1D CNN and 2D CNN), and Long Short Term Memory (LSTM) deep networks architectures for WLAN indoor positioning based on the data obtained by actual RSS measurements from an existing WLAN infrastructure in a mobile user scenario. The results, using different types of deep architectures including MLP, CNNs, and LSTMs with existing WLAN algorithms, are presented. The Root Mean Square Error (RMSE) is used as the assessment criterion. The proposed LSTM Model 2 achieved a dynamic positioning RMSE error of 1.73m, which outperforms probabilistic WLAN algorithms such as Memoryless Positioning (RMSE: 10.35m) and Nonparametric Information (NI) filter with variable acceleration (RMSE: 5.2m) under the same experiment environment.
Eudragit® L100/Polyvinyl Alcohol Nanoparticles Impregnated Mucoadhesive Films as Ocular Inserts for Controlled Delivery of Erythromycin: Development, Characterization and In Vivo Evaluation
Authors: Mirzaeei Shahla , Taghe Shiva , Alany Raid G. , Nokhodchi Ali
Published: August 2022

The fast elimination of drugs from the cornea is one of many challenges associated with the topical administration of conventional dosage forms. The present manuscript aimed to prepare modified-release inserts containing erythromycin (ERY) to enhance drug delivery and address the aforementioned limitation. Film formulations were developed using Eudragit® L100 (EUD) and Polyvinyl Alcohol (PVA) polymers. ERY-loaded EUD-based nanoparticles were developed by the colloidal dispersion method using PVA as the emulsifier. The film-casting method was applied to form the mucoadhesive films using sodium alginate, gelatin, cyclodextrin-α, and β as polymeric film matrices. Different physicochemical properties of the optimized formulations and in vitro release profiles were evaluated. The in vivo evaluation was performed by collecting tear samples of rabbits using a novel, non-invasive method following the administration of inserts in the cul-de-sac. The ERY amount was assayed using a microbiological assay. The developed films showed prolonged in vitro and in vivo release profiles over five to six days; they had suitable physicochemical properties and a tensile strength of 2–3 MPa. All formulations exhibited antibacterial efficacy against E. coli and S. aureus with more than 20 mm diameter of inhibited growth zones. None of the formulations caused irritation to the rabbit’s eye. The inserts showed promising pharmacokinetics with AUC0–120 of 30,000–36,000 µg·h/mL, a Cmax of more than 1800 µg/mL at 4 h, and maintained drug concentration over the threshold of 5 µg/mL during the following 120 h of study. Nanoparticle-containing, mucoadhesive films could be fabricated as ocular inserts and can prolong the topical ocular delivery of ERY.
Increased Levels of HbA1c in Individuals with Type 2 Diabetes and Depression: A Meta-Analysis of 34 Studies with 68,398 Participants
Authors: Genis-Mendoza Alma Delia , González-Castro Thelma Beatriz , Tovilla-Vidal Gisselle , Juárez-Rojop Isela Esther , Castillo-Avila Rosa Giannina , López-Narváez María Lilia , Tovilla-Zárate Carlos Alfonso , Sánchez-de la Cruz Juan Pablo , Fresán Ana , Nicolini Humberto
Published: August 2022

Glycosylated hemoglobin is used to diagnose type 2 diabetes mellitus and assess metabolic control. Depression itself has been associated with high levels of HbA1c in individuals with T2DM. The association between diabetes and depression suggests the usefulness of determining HbA1c as a biological marker of depressive symptoms. The aim of this study was to determine HbA1c levels in individuals with T2DM with vs. without depression. Additionally, we analyzed the influence of pharmacological treatments, time of evolution, and complications of disease. We performed a literature search in different databases published up to January 2020. A total of 34 articles were included. Our results showed that individuals with T2DM with depression showed increased levels of HbA1c in comparison to individuals with T2DM without depression (d = 0.18, 95% CI: 0.12–0.29, p(Z) < 0.001; I2 = 85.00). We also found that HbA1c levels remained elevated in individuals with T2DM with depression who were taking hypoglycemic drugs (d = 0.20 95% CI: 0.11–0.30, p(Z) < 0.001; I2 = 86.80), in individuals with less than 10 years of evolution (d = 0.17 95% CI: 0.09–0.26, p(Z) = 0.001; I2 = 66.03) and in individuals with complications of the disease (d = 0.17, 95% CI: 0.07–0.26, p(Z) < 0.001; I2 = 58.41). Our results show that HbA1c levels in individuals with T2DM with depression are significantly increased compared to controls with T2DM without depression. Additionally, these levels remained elevated in individuals who were taking hypoglycemic drugs, those with less than 10 years of disease evolution, and those with complications related to diabetes. It is necessary to examine the existence of a diabetes–HbA1c–depression connection.
Cardiac and Respiratory Influences on Intracranial and Neck Venous Flow, Estimated Using Real-Time Phase-Contrast MRI
Authors: Laganà Maria Marcella , Pirastru Alice , Ferrari Francesca , Di Tella Sonia , Cazzoli Marta , Pelizzari Laura , Jin Ning , Zacà Domenico , Alperin Noam , Baselli Giuseppe , Baglio Francesca
Published: August 2022

The study of brain venous drainage has gained attention due to its hypothesized link with various neurological conditions. Intracranial and neck venous flow rate may be estimated using cardiac-gated cine phase-contrast (PC)-MRI. Although previous studies showed that breathing influences the neck’s venous flow, this aspect could not be studied using the conventional segmented PC-MRI since it reconstructs a single cardiac cycle. The advent of real-time PC-MRI has overcome these limitations. Using this technique, we measured the internal jugular veins and superior sagittal sinus flow rates in a group of 16 healthy subjects (12 females, median age of 23 years). Comparing forced-breathing and free-breathing, the average flow rate decreased and the respiratory modulation increased. The flow rate decrement may be due to a vasoreactive response to deep breathing. The respiratory modulation increment is due to the thoracic pump’s greater effect during forced breathing compared to free breathing. These results showed that the breathing mode influences the average blood flow and its pulsations. Since effective drainage is fundamental for brain health, rehabilitative studies might use the current setup to investigate if respiratory exercises positively affect clinical variables and venous drainage.
An Ultra-Low-Noise, Low Power and Miniaturized Dual-Channel Wireless Neural Recording Microsystem
Authors: Wang Haochuan , Ma Qian , Chen Keming , Zhang Hanqing , Yang Yinyan , Zheng Nenggan , Hong Hui
Published: August 2022

As the basic tools for neuroscience research, invasive neural recording devices can obtain high-resolution neuronal activity signals through electrodes connected to the subject’s brain. Existing wireless neural recording devices are large in size or need external large-scale equipment for wireless power supply, which limits their application. Here, we developed an ultra-low-noise, low power and miniaturized dual-channel wireless neural recording microsystem. With the full-differential front-end structure of the dual operational amplifiers (op-amps), the noise level and power consumption are notably reduced. The hierarchical microassembly technology, which integrates wafer-level packaged op-amps and the miniaturized Bluetooth module, dramatically reduces the size of the wireless neural recording microsystem. The microsystem shows a less than 100 nV/Hz ultra-low noise level, about 10 mW low power consumption, and 9 × 7 × 5 mm3 small size. The neural recording ability was then demonstrated in saline and a chronic rat model. Because of its miniaturization, it can be applied to freely behaving small animals, such as rats. Its features of ultra-low noise and high bandwidth are conducive to low-amplitude neural signal recording, which may help advance neuroscientific discovery.
Data Processing of SPR Curve Data to Maximize the Extraction of Changes in Electrochemical SPR Measurements
Authors: Inoue Suzuyo , Fukada Kenta , Hayashi Katsuyoshi , Seyama Michiko
Published: August 2022

We developed a novel measuring and data-processing method for performing electrochemical surface plasmon resonance (EC-SPR) on sensor surfaces for which detecting a specific SPR angle is difficult, such as a polymer having a non-uniform thickness with coloration. SPR measurements are used in medicine and basic research as an analytical method capable of molecular detection without labeling. However, SPR is not good for detecting small molecules with small refractive index changes. The proposed EC-SPR, which combines SPR measurements with an electrochemical reaction, makes it possible to measure small molecules without increasing the number of measurement steps. A drawback of EC-SPR is that it is difficult to detect a specific SPR angle on electron mediators, and it was found that it may not be possible to capture all the features produced. The novel method we describe here is different from the conventional one in which a specific SPR angle is obtained from an SPR curve; rather, it processes the SPR curve itself and can efficiently aggregate the feature displacements in the SPR curves that are dispersed through multiple angles. As an application, we used our method to detect small concentrations of H2O2 (LOD 0.7 μM) and glutamate (LOD 5 μM).
Dostarlimab as a Miracle Drug: Rising Hope against Cancer Treatment
Authors: Singh Vanshikha , Sheikh Afsana , Abourehab Mohammed , Kesharwani Prashant
Published: August 2022

Immunotherapy is one of the four pillars of cancer treatment that has recently emerged as a beacon of hope for cancer patients. Certain immunotherapies, for example, immune checkpoint inhibitor therapy, monoclonal antibody therapy and chimeric antigen T-cell therapy have garnered extensive interest in response to their exceptional properties that activate the immune system to respond to cancer cells, inhibiting their progression. In the era of rapid development, dostarlimab, an anti-programmed cell death protein (PD-1) monoclonal antibody has mesmerized the medical profession by showing complete (100%) cure of patients with colorectal cancer. Not only this, the results obtained from clinical trials revealed no major side effects in any of the participants in the study. Dostarlimab has also shown promising results in endometrial cancer, ovarian cancer, melanoma, head and neck cancer, and breast cancer therapy. This review focuses upon the action of immunotherapy, extensively emphasizing the miraculous therapy to activate T-cells for cancer treatment. Based on this, we discuss major ongoing clinical trials and combination immunotherapies to enlighten future clinicians and researchers about the response of dostarlimab against various cancers.
SSR Linkage Maps and Identification of QTL Controlling Morpho-Phenological Traits in Two Iranian Wheat RIL Populations
Authors: Sabouri Hossein , Alegh Sharifeh Mohammad , Sahranavard Narges , Sanchouli Somayyeh
Published: August 2022

Wheat is one of the essential grains grown in large areas. Identifying the genetic structure of agronomic and morphological traits of wheat can help to discover the genetic mechanisms of grain yield. In order to map the morpho-phenological traits, an experiment was conducted in the two cropping years of 2020 and 2021 on the university farm of the Faculty of Agriculture, GonbadKavous University. This study used two F8 populations, including 120 lines resulting from Gonbad × Zagros and Gonbad × Kuhdasht. The number of days to physiological maturity, number of days to flowering, number of germinated grains, number of tillers, number of tillers per plant, grain filling periods, plant height, peduncle length, spike length, awn length, spike weight, peduncle diameter, flag leaf length and weight, number of spikelets per spike, number of grains per spike, grain length, grain width, 1000-grain weight, biomass, grain yield, harvest index, straw-weight, and number of fertile spikelets per spike were measured. A total of 21 and 13 QTLs were identified for 11 and 13 traits in 2020 and 2021, respectively. In 2020, qGL-3D and qHI-1A were identified for grain length and harvest index on chromosomes 3D and 1A, explaining over 20% phenotypic variation, respectively. qNT-5B, qNTS-2D, and qSL-1D were identified on chromosomes 5B, 2D, and 1D with the LOD scores of 4.5, 4.13, and 3.89 in 2021, respectively.
Social Media Exposure and Left-behind Children’s Tobacco and Alcohol Use: The Roles of Deviant Peer Affiliation and Parent–Child Contact
Authors: Wu Li , Yao Liangshuang , Guo Yuanxiang
Published: August 2022

The public has always been concerned about the problem behaviors of children and teenagers (such as cigarette and alcohol use), especially among disadvantaged groups (e.g., left-behind children in China); in the current information era, left-behind children’s use of social media also has increasingly expanded, which has diverse effects on their adaptation. Accordingly, the present study examined the association between exposure to relevant content on social media and left-behind children’s tobacco and alcohol use, as well as the underlying mechanisms—the mediating effect of deviant peer affiliation and the moderating effect of parent–child contact, the gender differences were also investigated. A sample of 515 Chinese left-behind children (Mage = 13.39 ± 2.52 years, 45.0% girls) was recruited to complete a set of questionnaires assessing the main variables. The results show that social media exposure was positively associated with tobacco and alcohol use and that deviant peer affiliation significantly mediated this relationship. Furthermore, parent–child interaction attenuated the link between social media exposure and cigarette and alcohol use among left-behind girls, but this moderating effect was not statistically significant among left-behind boys. The moderating role of parent–child contact in the association between deviant peer affiliation and tobacco and alcohol use was insignificant in both boys and girls. These findings may have significance in several ways—theoretically, they not only deepen our understanding of the risk factors and mechanism of tobacco and alcohol use among left-behind children in the current information era and the influences of social media use; practically, they provide direction for the health improvement of left-behind children of different genders.
Assessing Construction Constraint Factors on Project Performance in the Construction Industry
Authors: Masoetsa Tshweu Given , Ogunbayo Babatunde Fatai , Aigbavboa Clinton Ohis , Awuzie Bankole Osita
Published: August 2022

A construction constraint is a condition that impedes progress toward meeting construction project goals. This paper seeks to assess the constraint factors affecting project performance in the South African construction industry. The study adopted a quantitative research design, and a questionnaire was designed to retrieve data from the target populations. The target population were construction professionals within the South African construction industry. One hundred and eighty questionnaires were administered to construction professionals within the study area through the purposive quota sampling technique. Retrieved data were analysed using descriptive and exploratory factor analysis. In order to determine the data reliability and the interrelatedness of the variables, Cronbach’s alpha test was carried out on each component. The results of the exploratory factor analysis show that stakeholders’ inappropriate project scheduling and coordination factors, organisation and government policies factors, and organisation and government policies factors were the leading constraints affecting construction project performance in the South African construction industry. Due to time and distance constraints, this study was limited to construction professionals in South Africa’s Free State province. The paper concluded that to reduce the construction constraints affecting construction project performance, construction professionals must improve their project scheduling, coordination, organisational policies, and managerial capacity. The paper’s findings will assist stakeholders in identifying and overcoming construction constraints in construction projects’ execution and delivery.
An Explicit Finite Difference Method for Dynamic Interaction of Damped Saturated Soil Site-Pile Foundation-Superstructure System and Its Shaking Table Analysis
Authors: Song Jia , Ma Xuelian , Jia Kemin , Yang Yu
Published: August 2022

The saturated soil site-pile foundation-superstructure system, with large degrees of freedom or strong nonlinear problems, often involves a large amount of calculation and low computational efficiency. In this paper, a fully explicit finite difference method is proposed for a saturated soil site-pile foundation-superstructure system. Since the proposed method has the advantages of decoupling in both time and space, it does not need to solve the equations simultaneously, which grants it high computational efficiency. At the same time, the method is implemented on the open-source software OpenSees and is used to compare and analyze the dynamic responses of the shaking table of a liquefiable soil site-pile foundation-superstructure system. After the calculation and analysis, the numerical solutions were found to be in good agreement with the experimental solutions, which verifies the proposed method and illustrates that the proposed method can reasonably simulate the seismic responses of the whole system. In addition, the proposed calculation platform in OpenSees can be used for the analysis of the liquefaction process and the possible large deformation of soil after liquefaction, as well as for analyzing the failure mode of the complex and nonlinear saturated soil sites and structures under the effects of an earthquake.
Environmental Efficiency Evaluation of Construction Waste Generation Based on Data Envelopment Analysis and Malmquist Index
Authors: Liu Xia , Wu Zezhou , Xie Peiying , Hong Qing , Hu Xi , Antwi-Afari Maxwell Fordjour
Published: August 2022

The rapid development of urbanization in China in recent years has resulted in the production of large amounts of construction waste, which has placed certain constraints on the sustainable development of the construction industry. This study measures the environmental efficiency of construction waste generated in China from static and dynamic perspectives using the data envelopment analysis and the Malmquist index with data from 30 Chinese provinces during the period from 2011 to 2020. The results showed that, from a static perspective, the environmental efficiency of China’s construction waste generation has been on a generally declining trend year by year, and the overall level is still not too high. At the regional level, there is a stepwise decline in the eastern, central, northeastern, and western regions. From a dynamic point of view, the overall Malmquist index in China has an average value of 1.016, indicating that the level of environmental efficiency of construction waste generation in China is in a state of improvement. From a regional perspective, the Malmquist index is highest in the east, indicating that the level of environmental efficiency of construction waste generation in the eastern region is developing well.
Treatment Costs of Colorectal Cancer by Sex and Age: Population-Based Study on Health Insurance Data from Germany
Authors: Heisser Thomas , Simon Andreas , Hapfelmeier Jana , Hoffmeister Michael , Brenner Hermann
Published: August 2022

Objective: Evidence on the cost-effectiveness of screening for colorectal cancer (CRC) in the German general population remains scarce as key input parameters, the costs to treat CRC, are largely unknown. Here, we provide detailed estimates on CRC treatment costs over time. Methods: Using insurance claims data from the Vilua healthcare research database, we included subjects with newly diagnosed CRC and subjects who died of CRC between 2012 and 2016. We assessed annualized CRC-related inpatient, outpatient and medication costs for up to five years after first diagnosis and prior to death, stratified by sex and age. Findings: We identified 1748 and 1117 subjects with follow-up data for at least 1 year after diagnosis and prior to death, respectively. In those newly diagnosed, average costs were highest in the first year after diagnosis (men, EUR 16,375–16,450; women, EUR 10,071–13,250) and dropped steeply in the following years, with no consistent pattern of differences with respect to age. Costs prior to death were substantially higher as compared to the initial phase of care and consistently on a high level even several years before death, peaking in the final year of life, with strong differences by sex and age (men vs. women, <70 years, EUR 34,351 vs. EUR 31,417; ≥70 years, EUR 14,463 vs. EUR 9930). Conclusion: Once clinically manifest, CRC causes substantial treatment costs over time, particularly in the palliative care setting. Strong differences in treatment costs by sex and age warrant further investigation.
In Search of an Effective Workability Zone during the 3D Printing of Polymeric Periodic Open Cellular Structures Potentially Useful as Microreactors
Authors: Lietor Pablo F. , González-Lechuga David , Corpas-Iglesias Francisco Antonio , Laguna Espitia Oscar Hernando
Published: August 2022

The question of how easy the transition is between design and manufacturing by the 3D printing of periodic open cellular structures occurs from the analysis of cases in which additive manufacturing and heterogeneous catalysis merge. The synergy between these two fields suggests that one of the great advantages that the catalysis of this manufacturing methodology can take advantage of is the obtaining of advanced designs that would allow improving the processes from the geometry of the reactors. However, not all 3D-printing techniques offer the same degree of resolution, and this uncertainty grows when using more complex materials to work with, such as ceramics or metals. Therefore, the present work seeks to answer this question by finding experimentation strategies, starting with a simple case study inspired by the additive manufacturing–catalysis combination, in which a ceramic polymer resin of high thermal resistance is used to obtain POCSs that are potentially useful in thermochemical or adsorption processes. This exploration concludes on the need to define limits for what we have called an “effective work zone” that combines both design criteria and the real possibility of printing and manipulating the pieces, making sweeps in structural parameters such as cell size and the diameter of struts in the POCS. Similarly, the possibility of coating these systems with inorganic oxides is explored, using a generic oxide (Al2O3) to analyse this scenario. Finally, a cartridge-type assembly of these systems is proposed so that they can be explored in future processes by other researchers.
Effect of Fermentation Response on Biosynthesis of Endopolygalacturonase from a Potent Strain of Bacillus by Utilizing Polymeric Substrates of Agricultural Origin
Authors: Rafique Nagina , Ijaz Raina , Khan Muhammad Zubair , Rafiq Saima , Hayat Imran , Hussain Imtiaz , Ahmad Khawaja Shafique , Tabassum Romana , Xie Zhijian
Published: August 2022

Endopolygalacturonase (EndoPGase), EC: 3.2.1.15. is one of the crucial pectinases belonging to the class of carbohydrase. The catalytic action of EndoPGase captivates the attention of the production of this extremely valuable catalyst in the industrial sector. The main focus was to ascertain a potential bacterial candidate for endoPGase production. The isolated bacterial strain was further identified by 16S rRNA gene sequencing. The parameters for enzyme biosynthesis were optimized by a single and multiple factor approach at a time. The results of our investigation led to the identification of a potent strain of Bacillus subtilis NR2 [strain 168]. The sequence of 16S rRNA amplified from the isolated bacterium has been submitted to GenBank under accession number ON738697. The strain was found active for pectic enzyme activity under shaking- flask fermentation at pH 5.0 and 50 °C temperature of incubation. Among all monomeric and polymeric substrates (inducer-substrates), citrus pectin, followed by potato starch and pectin (Sigma) were considered the best enzyme inducers at 1% concentration. In comparison, an increased wheat bran concentration at 5% was proved to be ideal for EndoPGase biosynthesis Moreover, an increasing trend in enzyme activity was observed with the increasing concentration of inducer. The combined effect of three variables (pH, inducer-substrates, and inducer-substrate concentration) was explored by response surface methodology (RSM) involving a Box–Behnken design (BBD). Based on the results, we concluded that the soil-isolated B. subtilis can be effectively utilized for commercial-scale pectinase enzyme biosynthesis.
Phaseolus vulgaris Erythroagglutinin (PHA-E)-Positive Ceruloplasmin Acts as a Potential Biomarker in Pancreatic Cancer Diagnosis
Authors: Sha Shanshan , Wang Yating , Liu Menglu , Liu Gang , Fan Ning , Li Zhi , Dong Weijie
Published: August 2022

Pancreatic cancer (PC) remains one of the top 10 causes of cancer-related death in recent years. Approximately 80% of PC patients are diagnosed at the middle or advanced stage and miss the opportunity for surgery. The demand for early diagnostic methods and reliable biomarkers is increasing, although a number of tumor markers such as CA19-9 and CEA have already been utilized in clinics. In this study, we analyzed the alteration of N-glycan of serum glycoproteins by mass spectrometry and lectin blotting. The results showed that bisecting GlcNAc structures of glycoproteins are significantly increased in PC patients’ sera. With Phaseolus vulgaris Erythroagglutinin (PHA-E) lectin that specifically recognizes bisecting GlcNAc N-glycans, the serum glycoproteins bearing bisecting GlcNAc in PC patients’ sera were pulled down and identified by nano-LC-MS/MS. Among them, ceruloplasmin (Cp) was screened out with a satisfied sensitivity and specificity in identifying PC from acute pancreatitis patients (AUC: 0.757) and normal healthy persons (AUC: 0.972), suggesting a close association between Cp and PC development and diagnosis. To prove that, the Cp expression in tumor tissues of PC patients was examined. The results showed that Cp was significantly upregulated in PC tissues compared to that in adjacent normal tissues. All these results suggested that PHA-E-positive Cp could be a potential PC-specific glycoprotein marker to distinguish PC patients from acute pancreatitis patients and normal persons.