bluuebunny/crossref_metadata_2025 huggingface dataset:
The Nociceptin/Orphanin FQ peptide receptor antagonist, SB-612111, improves cerebral blood flow in a rat model of traumatic brain injury
Authors: Al Yacoub Omar N. , Tarantini Stefano , Zhang Yong , Csiszar Anna , Standifer Kelly M.
Published: October 2023

Traumatic brain injury (TBI) affects more than 2.5 million people in the U.S. each year and is the leading cause of death and disability in children and adults ages 1 to 44. Approximately 90% of TBI cases are classified as mild but may still lead to acute detrimental effects such as impaired cerebral blood flow (CBF) that result in prolonged impacts on brain function and quality of life in up to 15% of patients. We previously reported that nociceptin/orphanin FQ (N/OFQ) peptide (NOP) receptor antagonism reversed mild blast TBI-induced vestibulomotor deficits and prevented hypoxia. To explore mechanisms by which the NOP receptor-N/OFQ pathway modulates hypoxia and other TBI sequelae, the ability of the NOP antagonist, SB-612111 (SB), to reverse TBI-induced CBF and associated injury marker changes were tested in this study. Male Wistar rats randomly received sham craniotomy or craniotomy + TBI via controlled cortical impact. Injury severity was assessed after 1 h (modified neurological severity score (mNSS). Changes in CBF were assessed 2 h post-injury above the exposed cortex using laser speckle contrast imaging in response to the direct application of increasing concentrations of vehicle or SB (1, 10, and 100 µM) to the brain surface. TBI increased mNSS scores compared to baseline and confirmed mild TBI (mTBI) severity. CBF was significantly impaired on the ipsilateral side of the brain following mTBI, compared to contralateral side and to sham rats. SB dose-dependently improved CBF on the ipsilateral side after mTBI compared to SB effects on the respective ipsilateral side of sham rats but had no effect on contralateral CBF or in uninjured rats. N/OFQ levels increased in the cerebral spinal fluid (CSF) following mTBI, which correlated with the percent decrease in ipsilateral CBF. TBI also activated ERK and cofilin within 3 h post-TBI; ERK activation correlated with increased CSF N/OFQ. In conclusion, this study reveals a significant contribution of the N/OFQ-NOP receptor system to TBI-induced dysregulation of cerebral vasculature and suggests that the NOP receptor should be considered as a potential therapeutic target for TBI.
Chromosome-level genome assembly of Niphotrichum japonicum provides new insights into heat stress responses in mosses
Authors: Zhou Xuping , Peng Tao , Zeng Yuying , Cai Yuqing , Zuo Qin , Zhang Li , Dong Shanshan , Liu Yang
Published: October 2023

With a diversity of approximately 22,000 species, bryophytes (hornworts, liverworts, and mosses) represent a major and diverse lineage of land plants. Bryophytes can thrive in many extreme environments as they can endure the stresses of drought, heat, and cold. The moss Niphotrichum japonicum (Grimmiaceae, Grimmiales) can subsist for extended periods under heat and drought conditions, providing a good candidate for studying the genetic basis underlying such high resilience. Here, we de novo assembled the genome of N. japonicum using Nanopore long reads combined with Hi-C scaffolding technology to anchor the 191.61 Mb assembly into 14 pseudochromosomes. The genome structure of N. japonicum’s autosomes is mostly conserved and highly syntenic, in contrast to the sparse and disordered genes present in its sex chromosome. Comparative genomic analysis revealed the presence of 10,019 genes exclusively in N. japonicum. These genes may contribute to the species-specific resilience, as demonstrated by the gene ontology (GO) enrichment. Transcriptome analysis showed that 37.44% (including 3,107 unique genes) of the total annotated genes (26,898) exhibited differential expression as a result of heat-induced stress, and the mechanisms that respond to heat stress are generally conserved across plants. These include the upregulation of HSPs, LEAs, and reactive oxygen species (ROS) scavenging genes, and the downregulation of PPR genes. N. japonicum also appears to have distinctive thermal mechanisms, including species-specific expansion and upregulation of the Self-incomp_S1 gene family, functional divergence of duplicated genes, structural clusters of upregulated genes, and expression piggybacking of hub genes. Overall, our study highlights both shared and species-specific heat tolerance strategies in N. japonicum, providing valuable insights into the heat tolerance mechanism and the evolution of resilient plants.
Using energy psychology to remediate emotional wounds rooted in childhood trauma: preliminary clinical guidelines
Authors: Feinstein David
Published: October 2023

Adverse childhood experiences (ACEs) are potentially traumatic events that occur in childhood, such as violence, abuse, severe neglect, or mental health problems in caregivers. The negative physical and mental health consequences of severe or multiple ACEs provide a major challenge for the health care community. Psychotherapies that utilize a mind–body approach in treating ACE-related conditions are seen by their proponents as having advantages for bringing healing and restoration compared with talk, introspective, interpersonal, and exposure therapies that do not intervene at the body level, as famously encapsulated by Bessel van der Kolk’s observation that “the body keeps the score.” A mind–body approach whose use has been rapidly increasing in clinical settings as well as on a self-help basis is called “energy psychology.” Energy psychology combines conventional therapeutic techniques such as cognitive restructuring and psychological exposure with the stimulation of acupuncture points (acupoints) by tapping on them. A review of the development, efficacy, and plausible mechanisms of energy psychology is presented, and several strengths are enumerated, such as how integrating acupoint tapping into conventional exposure methods enhances the speed and power of outcomes. The impact of energy psychology protocols on the three brain networks most centrally involved with ACEs is also examined. Finally, recommendations are offered for using an energy psychology approach at each stage of therapy with individuals who have endured severe or multiple ACES, from establishing a therapeutic alliance to assessment to treatment to follow-up.
Psychological disorders and suicide attempts in youths during the pre-COVID and post-COVID era in a Taiwan pediatric emergency department
Authors: Guo Bei-Cyuan , Chen Ying-Ju , Huang Wun-Yan , Lin Mao-Jen , Wu Han-Ping
Published: October 2023

Background

The COVID-19 pandemic has had a significant impact on pediatric patients, increasing their vulnerability to psychological fragility. The aim of this study was to investigate the epidemiology and clinical spectrum of pediatric psychological fragility and suicide attempts in the emergency department (ED) before and after the onset of the COVID-19 outbreak.

Methods

A total of 340 pediatric patients admitted to the ED for psychological fragility between 2019 and 2022 were retrospectively collated and categorized according to three periods: pre pandemic, pandemic, and post pandemic. Epidemiological and clinical information were analyzed and compared among the three groups. Moreover, patients with suicidal ideation or suicidal attempts and types of substance use disorders in children with suicidal attempts sent to the ED were analyzed.

Results

The proportion of psychological fragility increased during the pandemic period (0.4%) and the post-pandemic period (0.8%) compared to that in the pre-pandemic period (0.28%). Suicide ideation was the highest before the pandemic period (0.04%), while suicidal attempts were the highest in the post pandemic period (0.42%). Significantly elevated trends in suicide attempts involving overdose and injury were observed among the three groups (p < 0.05). Intensive care unit (ICU) admission rates increased significantly after the COVID-19 outbreak (p < 0.05), and major depressive disorder was the most common psychological fragility in the ED in all three groups.

Conclusion

An increase in the proportion of pediatric psychological fragility in the ED was noted in the post pandemic period than before or during the pandemic. With higher rates of ICU admissions and an increase in suicide attempts among children and adolescents during the pandemic compared to before or after the pandemic, it is of utmost importance to provide mental health support to this vulnerable population in order to prevent suicide attempts in the event of a new global outbreak of infectious diseases.
Shifts in Chronic Disease Patterns Among Spanish Older Adults With Multimorbidity Between 2006 and 2017
Authors: Spijker Jeroen J. A. , Rentería Elisenda
Published: October 2023

Objectives: To investigate changes in multimorbidity patterns among Spanish older adults.

Methods: Data come from the Spanish National Health Survey (ENSE) for individuals aged 60–89 years (2006: n = 9,758; 2017: n = 8,535). Prevalence rates and relative risks of 20 chronic conditions are estimated for the multimorbidity (3+ chronic conditions) sample, along with observed-to-expected prevalence of three-way disease combinations. Principal component and cluster analyses identify multimorbidity patterns and track temporal changes.

Results: Overall, multimorbidity remained stable [2006: 59.6% (95% CI: 58.7%–60.6%); 2017: 60.3% (CI: 59.3%–61.3%)], except at older ages. Women exhibited higher multimorbidity prevalence, but sex differences declined by five percentage points. Low-high education differences widened by three percentage points. In 2017 most individuals living with multimorbidity experienced hypertension (63.4%), osteoarthrosis (62.4%) and chronic back pain (55.9%). These chronic conditions also dominate the most common triadic combinations. Multimorbid men also saw increases in cholesterol and diabetes.

Conclusion: Multimorbidity trends and the most common combination of diseases can help plan healthcare for an ageing population. Sex and socioeconomic differences pose additional public health challenges as women and deprived populations tend to have more health complexities.
Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division
Authors: Sakaida Miu , Yoshimura Takaaki , Tang Minghui , Ichikawa Shota , Sugimori Hiroyuki
Published: October 2023

Convolutional neural networks (CNNs) in deep learning have input pixel limitations, which leads to lost information regarding microcalcification when mammography images are compressed. Segmenting images into patches retains the original resolution when inputting them into the CNN and allows for identifying the location of calcification. This study aimed to develop a mammographic calcification detection method using deep learning by classifying the presence of calcification in the breast. Using publicly available data, 212 mammograms from 81 women were segmented into 224 × 224-pixel patches, producing 15,049 patches. These were visually classified for calcification and divided into five subsets for training and evaluation using fivefold cross-validation, ensuring image consistency. ResNet18, ResNet50, and ResNet101 were used for training, each of which created a two-class calcification classifier. The ResNet18 classifier achieved an overall accuracy of 96.0%, mammogram accuracy of 95.8%, an area under the curve (AUC) of 0.96, and a processing time of 0.07 s. The results of ResNet50 indicated 96.4% overall accuracy, 96.3% mammogram accuracy, an AUC of 0.96, and a processing time of 0.14 s. The results of ResNet101 indicated 96.3% overall accuracy, 96.1% mammogram accuracy, an AUC of 0.96, and a processing time of 0.20 s. This developed method offers quick, accurate calcification classification and efficient visualization of calcification locations.
Improving Quality of Human Resources through HRM Practices and Knowledge Sharing
Authors: Iqbal Salman , Litvaj Ivan , Drbúl Mário , Rasheed Mamoona
Published: October 2023

One of the objectives of this paper is to examine the empirical effects of certain Human Resource Management (HRM) practices and reciprocity as antecedents of knowledge-sharing (KS) behavior. In an organization, human resource knowledge quality plays a key role in the effective performance of the organization by communicating their knowledge with management and co-workers to perform their tasks in a better way. This is possible only when useful and relevant quality knowledge is successfully shared. Despite various studies on this topic, there is little research on KS and HRM practices in developing countries like Pakistan. A survey-based approach is used for data collection from different employees in the banking sector of Pakistan. The hypotheses are formulated based on the four HRM practices and reciprocity. The dataset is critically investigated using structural equation modeling (SEM). The results of this study suggest that reciprocity, recruitment and selection, and performance appraisals have a significant relationship with KS behaviour. Furthermore, KS is independent of employees’ training and development along with incentive systems in organizations. The contribution of this paper is how certain HR practices and employees’ perceptions about reciprocity influence employees’ knowledge sharing in an organization. This paper assists employers, employees, policymakers, and scholars to understand the factors that can promote knowledge sharing. This study also highlights the significant role of Human Resource Practices (HRP).
Bioactive Compounds of Endemic Medicinal Plants (Cuphea spp.) Cultured in Aquaponic Systems: A Short Study
Authors: Flores-Aguilar Priscila Sarai , Rico-Chávez Amanda Kim , Rodriguez-deLeón Eloy , Aguirre-Becerra Humberto , Zamora-Castro Sergio Aurelio , Soto-Zarazúa Genaro Martín
Published: October 2023

Aquaculture waters can be associated with the modification of the phytochemical profile in plants when they are used for irrigation; thus, Integrated Agri-Aquaculture Systems such as aquaponics represent a strategy to improve the bioactive content of medicinal plants. This study aimed to analyze the effect caused by cultivation using aquaponics on the modification of the content of bioactive compounds such as phenols, flavonoids, and apigenin in Cuphea hyssopifolia and Cuphea cyanea irrigated with Cyprinus carpio waters. The results of each culture method showed unique differences (p ≤ 0.05) in the concentrations of bioactive compounds and antioxidant activity in Cuphea spp. For C. hyssopifolia in aquaponics, 76% (61.08 ± 7.2 mg g−1 GAEq) of phenols and 50% (5.62 ± 0.5 mg g−1 CAEq) of flavonoids were maintained compared to 20% (16.99 ± 0.4 mg g−1 GAEq) of phenols and 76.5% (8.19 ± 1.6 mg g−1 CAEq) of flavonoids in conventional culture. For C. cyanea in aquaponics, 91% (15.36 ± 0.8 mg g−1 GAEq) of phenols and 47% (3.52 ± 0.6 mg g−1 CAEq) of flavonoids were maintained compared to 24% (14.11 ± 1.3 mg g−1 GAEq) of phenols and 82% (1.79 ± 0.1 mg g−1 CAEq) of flavonoids in conventional culture. An increase of more than 60% in the apigenin content of C. hyssopifolia in aquaponics confirms a eustress effect related to the use of organically enriched waters. The results indicate that aquaponics can promote the biostimulation/elicitation of medicinal plants and increase their bioactive compounds, but this effect does not occur in the same way between species.
Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means
Authors: Li Haopu , Li Haoming , Li Bugao , Shao Jiayuan , Song Yanbo , Liu Zhenyu
Published: October 2023

Efficiently managing temperature and humidity in a pig house is crucial for enhancing animal welfare. This research endeavors to develop an intelligent temperature and humidity control system grounded in a three-way decision and clustering algorithm. To establish and validate the effectiveness of this intelligent system, experiments were conducted to compare its performance against a naturally ventilated pig house without any control system. Additionally, comparisons were made with a threshold-based control system to evaluate the duration of temperature anomalies. The experimental findings demonstrate a substantial improvement in temperature regulation within the experimental pig house. Over a 24 h period, the minimum temperature increased by 4 °C, while the maximum temperature decreased by 8 °C, approaching the desired range. Moreover, the average air humidity decreased from 73.4% to 68.2%. In summary, this study presents a precision-driven intelligent control strategy for optimizing temperature and humidity management in pig housing facilities.
Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices
Authors: Lu Yi-Xuan , Wang Si-Ting , Yao Guan-Xin , Xu Jing
Published: October 2023

This study undertakes a comprehensive analysis of vegetable production efficiency in China using input–output data from 30 provinces spanning 2011 to 2017. By incorporating environmental pollution costs as undesirable outputs alongside vegetable output value, we employ Data Envelopment Analysis (DEA) with the Banker, Charnes, and Cooper (BCC) model and the Malmquist index model. Our assessment reveals both annual and inter-period efficiency changes. The findings highlight a modest overall efficiency in China’s vegetable production and significant regional disparities. Technical progress emerges as a pivotal determinant of total factor productivity (TFP). Recognizing these dynamics, we propose policy recommendations that prioritize technical innovation, sustainable practices, rural infrastructure enhancement, and specialized cultivation methods. Implementing these recommendations could bolster China’s position in international trade negotiations due to increased exports and potentially drive broader environmental policy reforms. As vegetable production becomes more efficient and sustainable, there might be a shift in labor needs, potentially leading to migration patterns or changes in employment structures. These insights contribute to the sustainable development of China’s vegetable industry, offering a broader understanding of the dynamics of agricultural efficiency in the context of environmental sustainability.
How Can the Digital Economy Promote the Integration of Rural Industries—Taking China as an Example
Authors: Zhang Zepu , Sun Chen , Wang Jing
Published: October 2023

The rapid development of China’s digital economy has promoted the digital transformation of Chinese society and become a new driving force for China’s social development. Furthermore, increasing farmers’ income is the central task of China’s “three rural issues” project, and the integrated development of primary, secondary, and tertiary rural industries is an important way to revitalize rural industries and broaden farmers’ income channels, so it is very important to promote the integrated development of rural industries. In the context of the rapid development of China’s digital economy, it is of great significance to study how the digital economy promotes the integration of rural industries. Therefore, this study analyzed how China’s digital economy promotes the integration of rural industries by using the panel data and regression models of 30 provinces (municipalities and districts) in China from 2011 to 2021. The results show that (1) there is a significant positive relationship between the development level of the digital economy and the level of rural–industrial integration and that the development of the digital economy promotes the process of rural–industrial integration; (2) intermediary effect analysis shows that as the digital economy promotes rural–industrial integration, scientific and technological innovation levels and rural human capital are important intermediary channels; and (3) spatial analysis shows that the development of the digital economy can not only promote the integration of rural industries in the province but also have a positive spatial spillover effect on neighboring provinces. Therefore, it is necessary to create a good atmosphere for the development of the digital economy, constantly promote the development of the digital economy, pay attention to scientific and technological innovation and rural talent training, and promote the integration and coordinated development of the digital economy and rural industries between regions in order to improve the level of rural–industrial integration and contribute to the rural revitalization strategy.
Evolving Soil Water Limitation Changes Maize Production Potential and Biomass Accumulation but Not Its Relationship with Grain Yield
Authors: Zhou Huailin , Zhou Guangsheng , Song Xingyang , Geng Jinjian , He Qijin
Published: October 2023

As a key indicator of agricultural production capacity, crop production potential is critical to evaluate the impacts of climate variability on agriculture. However, less attention has been paid to the pattern of biomass accumulation in response to crop climatic production potential and its relation to grain yield formation at an intra-seasonal time scale, especially under evolving soil water limitation. In this study, we combined a mechanism-based empirical model with field experiments conducted at different growth stages of maize on the Northern China Plain (NCP) to assess the dynamic response of biomass accumulation to climatic production potential and its relation to grain yield. The results showed that the ability of climatic production potential to estimate biomass was significantly improved when a vapor pressure deficit (VPD) was incorporated, with the root mean square error (RMSE) reduced by 33.3~41.7% and 45.6~47.2% under rainfed and evolving soil water limitation conditions, respectively. Drought significantly decreased biomass accumulation mainly by decreasing the intrinsic growth rate and delaying the occurrence timing of maximum growth. Moreover, grain yield shared a nonlinear and saturating relationship with biomass across rainfed and water deficit conditions. The results imply that evolving soil water limitation changes the process of biomass accumulation but not its relationship with grain yield. These findings provide useful information to estimate crop production potential under abiotic stresses and improve the accuracy of crop yield prediction.
Serum Bile Acids Concentrations and Liver Enzyme Activities after Low-Dose Trilostane in Dogs with Hyperadrenocorticism
Authors: Tinted Nannicha , Pongcharoenwanit Smith , Ongvisespaibool Thodsapol , Wachirodom Veerada , Jumnansilp Taksaon , Buckland Narinthip , Chuchalermporn Piyathip , Soontararak Sirikul , Pairor Selapoom , Steiner Jörg M. , Thengchaisri Naris , Assawarachan Sathidpak Nantasanti
Published: October 2023

Hyperadrenocorticism (HAC) often leads to vacuolar hepatopathy. The impact of trilostane treatment on serum total bile acids (SBAs) concentrations in dogs with HAC remains unknown. This study investigated SBAs concentrations in healthy dogs and those with HAC following trilostane therapy. Ten healthy dogs and fifteen dogs with HAC were prospectively enrolled. A biochemistry profile and pre- and post-prandial SBAs concentrations were determined in each dog. Dogs with HAC were reassessed at 1 and 3 months after the initiation of trilostane treatment. Dogs with HAC had significantly higher serum ALT, ALP, and GGT activities, and cholesterol, triglyceride, and pre-prandial SBAs concentrations compared to healthy dogs. After 3 months of trilostane treatment, polyuria/polydipsia and polyphagia were completely resolved in 42.8% and 35.7%, respectively. Significant improvements in serum ALT and ALP activities and cholesterol concentrations were observed within 1–3 months of trilostane treatment. However, pre- and post-prandial SBAs concentrations did not significantly decrease. These findings suggest that treatment with low-dose trilostane for 3 months appears to reduce serum liver enzyme activities, but not SBAs concentrations. Further investigation is warranted to explore the effects of low-dose trilostane treatment on SBAs concentrations for a longer duration or after achieving appropriate post-ACTH cortisol levels.
Algorithm for Autonomous Management of a Poultry Farm by a Cyber-Physical System
Authors: Chivarov Nayden , Dimitrov Kristiyan , Chivarov Stefan
Published: October 2023

The article presents a Cyber-Physical System (CPS) for intelligent management of a poultry farm for broiler meat production, with a fully autonomous microclimate control. Innovative concepts have been introduced for automated management and changing parameters according to pre-set conditions and schedules, with the possibility that the parameters of the algorithm can be further adjusted by the operator. The proposed CPS provides for high productivity with minimal production waste, at optimized costs and with minimization of human errors. The CPS is built on the basis of cost-oriented components. A Raspberry Pi 4 8 GB is used as the server, and the free open-source software OpenHAB 3.0 is used to optimize the cost of building the system as much as possible.
Adult Ossabaw Pigs Prefer Fermented Sorghum Tea over Isocaloric Sweetened Water
Authors: Nelson Catherine E. , Aramouni Fadi M. , Goering Mikayla J. , Bortoluzzi Eduarda M. , Knapp Laura A. , Herrera-Ibata Diana M. , Li Ka Wang , Jermoumi Rabia , Hooker Jane A. , Sturek Joshua , Byrd James P. , Wu Hui , Trinetta Valentina , Alloosh Mouhamad , Sturek Michael , Jaberi-Douraki Majid , Hulbert Lindsey E.
Published: October 2023

Ossabaw pigs (n = 11; 5—gilts, 6—barrows; age 15.6 ± 0.62 SD months) were exposed to a three-choice preference maze to evaluate preference for fermented sorghum teas (FSTs). After conditioning, pigs were exposed, in four sessions, to choices of white FST, sumac FST, and roasted sumac-FST. Then, pigs were exposed, in three sessions, to choices of deionized H2O (−control; avoidance), isocaloric control (+control; deionized H2O and sucrose), and blended FST (3Tea) (equal portions: white, sumac, and roasted sumac). When tea type was evaluated, no clear preference behaviors for tea type were observed (p > 0.10). When the 3Tea and controls were evaluated, pigs consumed minimal control (p < 0.01;18.0 ± 2.21% SEM), and they consumed great but similar volumes of +control and 3Tea (96.6 and 99.0 ± 2.21% SEM, respectively). Likewise, head-in-bowl duration was the least for −control, but 3Tea was the greatest (p < 0.01; 5.6 and 31.9 ± 1.87% SEM, respectively). Head-in-bowl duration for +control was less than 3Tea (p < 0.01; 27.6 vs. 31.9 ± 1.87% SEM). Exploration duration was the greatest in the area with the −control (p < 0.01; 7.1 ± 1.45% SEM), but 3Tea and +control exploration were not different from each other (1.4 and 3.0 ± 1.45% SEM, respectively). Regardless of tea type, adult pigs show preference for FST, even over +control. Adult pigs likely prefer the complexity of flavors, rather than the sweetness alone.
Development and Validation of a Canine Health-Related Quality of Life Questionnaire and a Human–Canine Bond Questionnaire for Use in Veterinary Practice
Authors: Lavan Robert P. , Tahir Muna , O’Donnell Christina , Bellenger Alex , de Bock Elodie , Koochaki Patricia
Published: October 2023

The use of valid questionnaires to assess dogs’ health-related quality of life (HRQoL) in veterinary practice can improve canine health outcomes and communications between veterinarians and caretakers of dogs. The Canine HRQoL Questionnaire (Canine HRQoL-Q) and the Human–Canine Bond Questionnaire (HCBQ) were developed and validated to fulfill this need. A literature review, interviews with veterinarians, and focus groups with caretakers were conducted to generate questionnaire items and develop draft questionnaires, which were piloted with caretakers to establish their content validity. Measurement properties were evaluated using data from a prospective survey study (N = 327). Draft Canine HRQoL-Q and HCBQ measures were developed, including a domain structure, items, recall period, and scale/response options. Refinements were made via iterative cognitive interviews with caretakers. When no additional revisions were indicated and content validity was established, the questionnaires were psychometrically tested. Ceiling effects were observed for all items, and factor analyses indicated that the pre-specified domains are appropriate. Internal consistency was demonstrated for the HCBQ (α = 0.79–0.86) and all but the social functioning domain of the Canine HRQoL-Q (α = 0.60). Test–retest reliability for the Canine HRQoL-Q was generally moderate-to-good (with intraclass correlation coefficients (ICCs) > 0.79). Test–retest reliability for the HCBQ was moderate (ICCs: 0.70–0.79) except for the trust domain (ICC: 0.58). Known-groups validity was demonstrated via significant differences (p < 0.05) in scores for health/bonding groups. Convergent validity was supported (r > 0.40) between all domains and the total scores for both questionnaires. The Canine HRQoL-Q and the HCBQ are valid, reliable measures of canine HRQoL for use in veterinary clinics and appear to measure related but distinct concepts that contribute to canine health and wellness.
Structure and Dynamics Guiding Design of Antibody Therapeutics and Vaccines
Authors: Fernández-Quintero Monica L. , Pomarici Nancy D. , Fischer Anna-Lena M. , Hoerschinger Valentin J. , Kroell Katharina B. , Riccabona Jakob R. , Kamenik Anna S. , Loeffler Johannes R. , Ferguson James A. , Perrett Hailee R. , Liedl Klaus R. , Han Julianna , Ward Andrew B.
Published: October 2023

Antibodies and other new antibody-like formats have emerged as one of the most rapidly growing classes of biotherapeutic proteins. Understanding the structural features that drive antibody function and, consequently, their molecular recognition is critical for engineering antibodies. Here, we present the structural architecture of conventional IgG antibodies alongside other formats. We emphasize the importance of considering antibodies as conformational ensembles in solution instead of focusing on single-static structures because their functions and properties are strongly governed by their dynamic nature. Thus, in this review, we provide an overview of the unique structural and dynamic characteristics of antibodies with respect to their antigen recognition, biophysical properties, and effector functions. We highlight the numerous technical advances in antibody structure prediction and design, enabled by the vast number of experimentally determined high-quality structures recorded with cryo-EM, NMR, and X-ray crystallography. Lastly, we assess antibody and vaccine design strategies in the context of structure and dynamics.
Molecular Networking and Bioassay-Guided Preparation and Separation of Active Extract and Constituents from Vicia tenuifolia Roth
Authors: Le Duc Dat , Yu Soojung , Dang Thinhulinh , Lee Mina
Published: October 2023

Molecular networking drove the selection of material from V. tenuifolia organs that targeted active flavonoid glycosides. To optimize the extraction process, the flowers of V. tenuifolia were used to produce an anti-inflammatory extract. The effects of variables—organic solvent ratio; extraction time; and temperature—were investigated by the response of anti-inflammatory activity. Bioactivities-guided experiments helped identify fractions with high total phenolic and flavonoid content as well as antioxidant potential. Furthermore, one new compound (1), 19 first isolated together, and two known compounds were obtained and identified from the active fraction of this plant. Among them, compounds (15 and 22) were first reported for nuclear magnetic resonance (NMR) data from this study. All the isolates were evaluated for their anti-inflammatory capacity throughout, modulating nitric oxide (NO), interleukin (IL)-1β, and IL-8 production. Active compounds were further investigated for their regulation and binding affinity to the inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) proteins by Western blot and in silico approaches, respectively. The findings of this study suggested that the developed extract method, active fraction, and pure components should be further investigated as promising candidates for treating inflammation and oxidation.
A Hybrid DNN Multilayered LSTM Model for Energy Consumption Prediction
Authors: AL-Ghamdi Mona , AL-Ghamdi Abdullah AL-Malaise , Ragab Mahmoud
Published: October 2023

The ability to predict energy consumption in a world in which energy needs are ever-increasing is important for future growth and development. In recent years, deep learning models have made significant advancements in energy forecasting. In this study, a hybrid deep neural network (DNN) multilayered long short-term memory (LSTM) model was used to predict energy consumption in households. When evaluating the model, the individual household electric power consumption dataset was used to train, validate, and test the model. Preprocessing was applied to the data to minimize any prediction errors. Afterward, the DNN algorithm extracted the spatial features, and the multilayered LSTM model was used for sequential learning. The model showed a highly accurate predictive performance, as the actual consumption trends matched the predictive trends. The coefficient of determination, root-mean-square error, mean absolute error, and mean absolute percentage error were found to be 0.99911, 0.02410, 0.01565, and 0.01826, respectively. A DNN model and LSTM model were also trained to study how much improvement the proposed model would provide. The proposed model showed better performance than the DNN and LSTM models. Moreover, similar to other deep learning models, the proposed model’s performance was superior and provided accurate and reliable energy consumption predictions.
Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm
Authors: Ahmed Ali Agoub Ramadan , Hançerlioğullari Aybaba , Rahebi Javad , Lopez-Guede Jose Manuel
Published: October 2023

The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV battery setup. This integrated approach aims to enhance energy harvesting efficiency under varying environmental conditions. The study’s innovation lies in effectively addressing challenges posed by diverse environmental factors and loads. The utilization of MATLAB 2022a Simulink for modeling and the Jellyfish Optimization Algorithm for PI-controller tuning further strengthens our findings. Testing scenarios, including constant and variable irradiation, underscore the significant enhancements achieved through the integration of fuzzy MPPT and the Jellyfish Optimization Algorithm with the PI-based voltage controller. These enhancements encompass improved power extraction, optimized voltage regulation, swift settling times, and overall efficiency gains.
Characterization of Asphalt Binders Modified with Bio-Binder from Swine Manure
Authors: Gasia Jaume , López-Montero Teresa , Vidal Lola , Miró Rodrigo , Bengoa Christophe , Martínez Adriana H.
Published: October 2023

Asphalt is an essential material in the construction of asphalt pavements. Due to its high demand and dependence on petroleum, it is crucial to use greener materials that can fully or partially replace petroleum-based binders. The characteristics of asphalt cause the bio-binder obtained through a hydrothermal liquefaction process from swine manure to have great potential to be used as a modifier due to its similarities with asphalt, contributing to the construction of more sustainable roads. Thus, this paper characterizes an asphalt binder modified with a new bio-binder obtained from swine manure at different rates (0%, 10%, and 20%). Several characterization tests were performed, including penetration, ring and ball, Fraass, viscosity, Cleveland open cup, and the UCL method. Furthermore, the possible leaching of the bio-binder was studied, showing no environmental problems. Results from the rheological tests showed that as the content of bio-binder increases, the softening temperature, Fraass breaking point, and viscosity of the bio-modified asphalt binder decrease, indicating the lower consistency of the bio-modified binder and its greater thermal susceptibility.
Cranial Affinity among Chronological Populations in Sardinia, Italy: Biometric Insights for Orthodontic Purposes
Authors: Campus Guglielmo , Solinas Giuliana , Dettori Marco , Arghittu Antonella , Castiglia Paolo
Published: October 2023

Since human skulls may be used as a benchmark of the evolutionary process, the aim of the present study is to assess the cranial affinity of Sardinian populations from different chronological periods, with a standard index to evaluate its benefits for orthodontic purposes. Craniometric variables from four throughout cephalograms (anterior and lateral) of 72 units from historical Sardinian populations, two prehistoric, one medieval, and one modern were compared to the Bolton standard. A one-way analysis of variance (ANOVA) was performed for means comparison. A hierarchical cluster analysis and the bootstrap technique for the reliability of the dendrogram were used. Length data revealed statistically significant results (p < 0.01). Usually, the medieval population showed higher mean values compared to the other groups; the prehistoric population presented the highest value of Euclidean distance when compared to the medieval; the modern showed no affinity to prehistoric populations nor to the Bolton standard. The length and the breadth of the neurocranium, maxillary–alveolar length, orbital height, maximum cranial breadth, and external palate breadth contributed to the dissimilarity among populations. The dissimilarities in the craniometric measurements of Sardinian populations are remarkable. Therefore, the main outcome showed that the craniometric standards of the Bolton standard are not applicable across the Sardinian population.
Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
Authors: Saif Yazid , Rus Anika Zafiah M. , Yusof Yusri , Ahmed Maznah Lliyas , Al-Alimi Sami , Didane Djamal Hissein , Adam Anbia , Gu Yeong Hyeon , Al-masni Mohammed A. , Abdulrab Hakim Qaid Abdullah
Published: October 2023

In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This research focuses on the advancements made in roundness measurement techniques for industrial automation by leveraging an IoT architecture, computer vision, and image processing. The interconnectedness enables the efficient collection of feedback information, meeting the demands of closed-loop manufacturing. The accuracy and performance of assemblies heavily rely on the roundness of specific workpiece components. In order to address this problem, automated inspection methods are needed. A new method of computer vision for measuring and inspecting roundness is proposed in this paper. This method uses a non-contact method that takes into account all points on the contours of measured objects, making it more accurate and practical than conventional methods. The system developed by AMMC Laboratory captures Delrin work images and analyzes them using a specially designed 3SMVI system based on Open CV with Python script language. The system can measure and inspect several rounded components in the same part, including external frames and internal holes. It is calibrated to accommodate various units of measurement and has been tested using sample holes within the surface feature of the workpiece. According to the results of both techniques, there is a noticeable difference ranging from 2.9 µm to 11.6 µm. However, the accuracy of the measurements can be enhanced by utilizing a high-resolution camera with proper lighting. The results were compared to those obtained using a computer measurement machine (CMM), with a maximum difference of 8.7%.
Reconstructing Nerve Structures from Unorganized Points
Authors: Kljajić Jelena , Kvaščev Goran , Đurović Željko
Published: October 2023

Realistic sensory feedback is paramount for amputees as it improves prosthetic limb control and boosts functionality, safety, and overall quality of life. This sensory restoration relies on the direct electrostimulation of residual peripheral nerves. Computational models are instrumental in simulating these neurostimulation effects, offering solutions to the complexities tied to extensive animal/human trials and costly materials. Central to these models is the detailed mapping of nerve geometry, necessitating the delineation of internal nerve structures, such as fascicles, across various cross-sections. In our modeling process, we faced the challenge of organizing an originally unstructured set of points into coherent contours. We introduced a parameter-free curve-reconstruction algorithm that combines valley-seeking clustering, an adaptive Kalman filter, and the nearest neighbor classification technique. While intuitively simple for humans, the task of reconstructing multiple open and/or closed lines with pronounced corners from a nonuniform point set is daunting for many algorithms. Additionally, the precise differentiation of adjacent curves, commonly encountered in realistic nerve models, remains a formidable challenge even for top-tier algorithms. Our proposed method adeptly navigates the complexities inherent to nerve structure reconstruction. While our algorithm is chiefly designed for closed curves, as dictated by nerve geometry, we believe it can be reconfigured with appropriate code adjustments to handle open curves. Beyond neuroprosthetics, our proposed model has the potential to be applied and spark innovations in biomedicine and a variety of other fields.
Functionalities-Based ERP Class System Implementation and Development
Authors: Stachowiak Agnieszka , Ragin-Skorecka Katarzyna , Wojciechowski Hubert , Misztal Agnieszka , Motała Daria , Wojtkowski Robert
Published: October 2023

Background: The main objective of the study is to facilitate the development and implementation of customised ERP systems by defining an ontology based on mutually exclusive database schemas for various business needs, resulting from the type of activity and the specificity of the market and industry. The need arises from the contradicting duality of the approach, indicating the need to choose between adapting standard solutions to the requirements of specific customers and developing new systems. Methods: Data on the schemes for processes performed and information needed and produced were collected from seventeen companies. The aggregate and synthesis of the research data was carried out to identify common and area-specific solutions. The SOL concept was introduced and implemented. Results: As a result, an ontology providing a universal approach to the analysis of processes was developed in order to automatically describe business processes by assigning companies to business models. Conclusions: The effect of the work on the indicated stage of the project is the development of a knowledge base containing standard models of the ERP class system built of many components. The solution to the research task is an ontology containing the developed structures and mechanisms to allow one to select the system functionality depending on the problems identified in the enterprises.
Marine Macro-Litter (Plastic) Pollution of German and North African Marina and City-Port Sea Floors
Authors: Schernewski Gerald , Escobar Sánchez Gabriela , Wandersee Philipp , Lange Xaver , Haseler Mirco , Nassour Abdallah
Published: October 2023

The macro-litter (plastic) sea-bottom pollution of 14 city harbors and marinas in North Africa and in the western Baltic Sea was investigated using a new simple mobile underwater camera system. The study was complemented by a harbor-manager survey and 3D hydrodynamic transport simulations. The average pollution in German marinas was 0.1 particles/m2 sea floor (0.04–1.75). The pollution in North African marinas on average was seven times higher (0.7 particles/m2) and exceeded 3 particles/m2 in city-center harbors. The resulting > 100,000 litter particles per harbor indicate the existence of a problem. At 73–74%, plastic particles are dominating. Existing legal and management frameworks explain the lack of plastic bottles and bags on sea floors in Germany and are one reason for the lower pollution levels. Items that indicate the role of untreated sewage water were not found. Harbor festivals seem to be quantitatively irrelevant for open sea-bottom pollution. Our method tends to underestimate the pollution level. Model simulations indicate that storms can cause litter reallocations and sediment cleanings. However, marina sea-floor monitoring is recommendable because it addresses pollution hotspots, is cost-effective and takes place close to emission sources. Further, the effectiveness of land-based pollution-reduction measures can easily be assessed.
Novel Instrument for Clinical Evaluations of Active Extraocular Muscle Tension
Authors: Shin Hyun Jin , Kim Seokjin , Kang Hyunkyoo , Lee Andrew G.
Published: October 2023

Strabismus can be caused by abnormal tension of the extraocular muscles (EOMs) attached to the eyeball in superior, inferior, lateral, medial, superior oblique, and inferior oblique positions. Evaluating the tension in each EOM is crucial for surgical planning in strabismus, which is conducted by adjusting the tension on the EOM. The purpose of this study was to develop a compact measuring device to non-invasively evaluate the active EOM tension. The proposed device employed a cotton-tipped medical swab to transfer the EOM tension connected to the force sensor as a non-invasive medium. The tilting angle of the swab and the force of active EOM tension were wirelessly transferred to a laptop computer for recording and real-time displaying of the measured values. The active EOM tensions for the four recti muscles were 101.7 ± 15.0 g (mean ± SD) for the lateral rectus; 88.0 ± 15.4 g for the medial rectus; 61.3 ± 6.8 g for the inferior rectus; and 121.3 ± 38.5 g for the superior rectus. These values were higher than the reported values of 45–60 g measured in previous studies. In the previous studies, however, the EOM was detached from the globe and attached to a strain gauge, and, thus, there were no passive elastic forces from ocular connective tissue, resulting in lower values compared with the current study. The previous methods were also complex and not suitable for clinical measurement. Thus, the proposed method, which is non-invasive and mimics the conventional force generation test with a cotton-tipped swab, could facilitate the evaluation of active EOM tension, both clinically in strabismus management and in research into understanding its pathophysiology.