bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Capabilities and Digital Transformation: Toward Strategic Planning in the Digital Age—Evidence from Palestine
Authors: Alrub Yamin Abu , Sánchez-Cañizares Sandra M.
Published: January 2025

The concept of digital maturity has gained prominence in the context of digital transformation. It refers to an organization’s ability to effectively adapt to changing environments using digital technologies. At the same time, the dynamic capabilities of an organization play a crucial role in maintaining a competitive advantage. These capabilities allow organizations to integrate, build, and reconfigure competencies in response to market dynamics. Despite empirical evidence supporting the impact of dynamic capabilities on competitive advantage, there remains a need to explore the specific mechanisms driving this relationship. Moreover, in traditional industries experiencing digital disruption, understanding digital maturity as an intermediate outcome becomes essential. This study focuses on the Palestinian financial sector and investigates the significance of digital maturity in the context of dynamic capabilities. Primary data were collected through an online questionnaire survey, and a model was estimated through a SEM-PLS methodology. The results highlight a strong relationship between dynamic capability and competitive advantage. Thus, digital maturity plays a crucial role in enhancing strategic planning efficiency through the implementation of dynamic capabilities.
Optimizing Growth and Yield in Mulched Cotton Through Aerated Subsurface Drip Irrigation in Southern Xinjiang
Authors: Zhang Yuxi , Yao Baolin , Niu Peining , Zhu Zhu , Mo Yan , Li Fayong , Sun Sanmin
Published: January 2025

This study investigates the impact of Aerated Subsurface Drip Irrigation (ASDI) on the growth and yield of mulched cotton, aiming to identify the optimal water-air combination pattern for ASDI in cotton cultivation. Conducted during 2021–2022, the experimental setup involved two aeration modes (aerated A1 and unaerated A0) and four irrigation quotas (W1, W2, W3, and W4), organized in a two-factor randomized block design resulting in eight distinct treatments. The findings revealed that ASDI significantly promoted soil moisture depletion from 0 to 40 cm during the cotton flowering and boll opening stages. Specifically, aerated A1 reduced soil water content by 5.84% to 7.83% during the flowering stage and 7.45% to 13.39% during the boll opening stage compared to unaerated A0. Additionally, both aerating and increasing irrigation quotas not only enhanced the cotton leaf area index (LAI) but also delayed leaf area decay, contributing to prolonged photosynthetic activity. Aerating also favorably influenced the distribution of above-ground biomass in cotton towards budding and boll stages, with the biomass share of buddings, flowers, and bolls averaging 62.98% under aerated conditions versus 62.27% under non-aerated conditions during the boll opening stage. Furthermore, aerating combined with increased irrigation quotas resulted in higher seed cotton yields, with aerated irrigation boosting yields by 1.79% in 2021 and 4.43% in 2022 compared to non-aerated irrigation. This approach also increased cotton’s water demand and average daily water consumption significantly (p < 0.01). Importantly, aerating improved IWUE, achieving 1.72 kg/m3 in 2021 and 1.62 kg/m3 in 2022 for ASDI, versus 1.69 kg/m3 and 1.57 kg/m3 for unaerated subsurface drip irrigation, respectively. In conclusion, from a water conservation and yield enhancement perspective, an irrigation quota of 337.4 mm during the reproductive stage under ASDI is recommended as an effective strategy for “one film three tubes and six rows” mulched cotton in Southern Xinjiang.
New Insights into Fertilisation with Animal Manure for Annual Double-Cropping Systems in Nitrate-Vulnerable Zones of Northeastern Spain
Authors: Quilez Dolores , Guillén Monica , Vallés Marta , Daudén Arturo , Moreno-García Beatriz
Published: January 2025

Maize double-cropping production systems in Mediterranean areas have a great nitrogen extraction capacity and high nitrogen (N) requirements. This study aims to assess whether in these farming systems, animal manure can be applied, using adequate management practices, at levels exceeding the maximum annual amount of livestock manure established in the European Nitrate Directive for vulnerable zones (170 kg N ha−1) without increasing the risk of water nitrate contamination. We compare the risk of nitrate leaching under two fertilisation strategies, one with synthetic fertilisers and the second with a maximised application of pig slurry, exceeding the limits of the EU Nitrate Directive, in two soil types. Crop yields, N extraction and nitrate concentrations below the crop root zone were not affected by the fertilisation strategies at each site. The results show that pig slurry can be applied above the limit of 170 kg N ha−1 under the conditions of the study, up to 360 kg N ha−1, without increasing the risk for nitrate leaching.
Effects of Sewage Sludge Compost on Carbon, Nitrogen, Phosphorus, and Sulfur Ratios and Soil Enzyme Activities in a Long-Term Experiment
Authors: Almási Csilla , Orosz Viktória , Tóth Timea , Mansour Mostafa M. , Demeter Ibolya , Henzsel István , Bogdányi Zsolt , Szegi Tamás András , Makádi Marianna
Published: January 2025

The carbon, nitrogen, phosphorus, and sulfur (CNPS) ratios of soils are known to be relatively stable parameters, characterizing different land uses. We hypothesized that the long-term application of sewage sludge compost (SSC) would not change these ratios but would increase the concentration of these elements and change the quality of organic matter (OM), as well as soil enzyme activities. Hence, soil chemical and microbiological properties were studied in a 20-year long-term experiment. The plots were grouped into five blocks and treated every third year with SSC at the rates of 0, 9, 18, or 27 t ha−1. Three plants, in a crop rotation, were tested and sown every year as follows: rye, rye with hairy vetch, and maize. The results showed that basic soil parameters (pH, OM content, E4/E6 ratio, NO3-NO2-N, AL-P2O5, and soil moisture content) were increased, along with the SSC doses in soil for the rye. Similar trends were found in CNPS concentrations, β-glucosidase, and alkaline phosphatase activities, while the acidic phosphatase activity was reduced. The C:N, C:S, and N:S ratios were not affected by the compost application. The main factors of treatment effects were plant-available phosphorus (ammonium lactate (AL)-soluble P2O5), total P, and NO3-NO2-N, based on principal component analysis. The canonical correspondent analyses revealed that phosphatase activities were affected by C:N, C:P, and N:P ratios and β-glucosidase was correlated with P forms and the E4/E6 ratio, while the soil pH strongly affected all soil enzymes. Based on the alkaline and acidic phosphatase activities, the role of microbes became more important with increasing compost doses in phosphorus mobilization. We conclude that the addition of SSC could improve soil health through increasing the pH, OM, nutrient content, and microbial activity. Also, some elemental ratios have an important role in the regulation of soil enzyme activities.
Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots
Authors: Shi Xiaojie , Wang Shaowei , Zhang Bo , Ding Xinbing , Qi Peng , Qu Huixing , Li Ning , Wu Jie , Yang Huawei
Published: January 2025

Due to the short time, high labor intensity and high workload of fruit and vegetable harvesting, robotic harvesting instead of manual operations is the future. The accuracy of object detection and location is directly related to the picking efficiency, quality and speed of fruit-harvesting robots. Because of its low recognition accuracy, slow recognition speed and poor localization accuracy, the traditional algorithm cannot meet the requirements of automatic-harvesting robots. The increasingly evolving and powerful deep learning technology can effectively solve the above problems and has been widely used in the last few years. This work systematically summarizes and analyzes about 120 related literatures on the object detection and three-dimensional positioning algorithms of harvesting robots over the last 10 years, and reviews several significant methods. The difficulties and challenges faced by current fruit detection and localization algorithms are proposed from the aspects of the lack of large-scale high-quality datasets, the high complexity of the agricultural environment, etc. In response to the above challenges, corresponding solutions and future development trends are constructively proposed. Future research and technological development should first solve these current challenges using weakly supervised learning, efficient and lightweight model construction, multisensor fusion and so on.
Impact of Ultraviolet Radiation on Skin and Blood Melanin Traits in Xichou Black-Boned Chicken: A Transcriptomic and Metabolomic Study
Authors: Li Xinlu , Tian Zhongxiao , Li Haojie , Tan Lei , Zhang Yong , Ge Changrong , Wang Kun
Published: January 2025

This study investigated the effects of ultraviolet A (UVA) radiation on the blackness traits of Xichou Black-boned Chickens and their underlying molecular mechanisms through combined transcriptomic and metabolomic analyses. A total of 240 one-day-old Xichou Black-boned Chickens were randomly divided into four groups and exposed to different durations of UVA radiation at an intensity of 47 μW/cm2. Skin blackness was measured at 1, 22, and 45 days of age, and blood and pectoral skin samples were collected at 45 days for analysis. The results showed that an exposure time of 1 h per day at 47 μW/cm2 was ideal for enhancing the blackness traits of the chickens, while exposure times exceeding 3 h led to a significant increase in mortality. Omics studies revealed that the mTOR pathway and tryptophan metabolism pathway are potentially involved in the biological processes by which UVA radiation affects the blackness traits of Xichou Black-boned Chickens, with the FZD3 gene being a candidate gene for these effects. These findings provide theoretical foundations and references for understanding the molecular regulation of blackness traits in these chickens and the potential application of UVA radiation in their production.
Short Supply of High Levels of Guanidine Acetic Acid, Alters Ovarian Artery Flow and Improves Intraovarian Blood Perfusion Area Associated with Follicular Growth in Sheep
Authors: Sousa Marta da Costa , Cavalcanti Camila Muniz , Conde Alfredo José Herrera , Alves Bruna Vitória de Freitas , Cesar Larissa Fernandes Baia , de Sena Jhennyfe Nobre , Miguel Yohana Huicho , Fernandes César Carneiro Linhares , Alves Juliana Paula Martins , Teixeira Dárcio Ítalo Alves , Rondina Davide
Published: January 2025

Guanidinoacetic acid (GAA), a precursor of creatine, has a recognized effect on ruminant performance when used as a dietary supplement. However, its impact on reproductive response remains to be elucidated. Therefore, this study aimed to contribute initially to this area by supplementing the diets of ewes with a high dose of GAA, evaluating its effects on reproductive response. Twenty adult sheep had their estrus synchronized using an MPA sponge, eCG, and PGF2α. After estrus detection ewes were mated. For 10 days until mating, ewes were grouped in groups of baseline diet (BSD; n = 10) and GAA diet (GAAD; n = 10), which was the BSD with daily 0.9 g/kg DM of GAA. After the eCG + PGF2α dose, the GAAD group exhibited an increase in the peak diastolic and pulsatility of the ovarian artery, a reduction in the systolic/diastolic peaks ratio, and a larger intraovarian blood perfusion area. A greater depletion of follicles with <3 mm was observed in the GAAD group and a higher number of follicles ≥3 mm. No differences were observed between the diets respect to pregnancy, and twin rates. Thus, a high GAA supply before mating significantly alters ovarian vasculature and improves follicular growth in ewes but does not affect the pregnancy rate.
A Review of Producer Adoption in the U.S. Beef Industry with Application to Enteric Methane Emission Mitigation Strategies
Authors: Luke Jaime R. , Tonsor Glynn T.
Published: January 2025

Cattle are ruminant animals that produce enteric methane (CH4) emissions as a byproduct of their natural digestive process. U.S. beef producers have been receiving pressure to reduce production emissions. The scientific community continues to research and develop methods to reduce enteric methane emissions, but adoption of such strategies by U.S. beef producers remains unknown. We complete a review on producer adoption in the U.S. beef industry to shed light on potential factors that may impact the adoption of emissions-mitigating strategies by U.S. beef producers. After querying nine research databases, fifty-five studies were gathered and synthesized. These studies span the beef supply chain and focus on topics including feed additives, management practices, and reproductive technologies. Economic returns are a key driver of U.S. beef producer adoption decisions, with accompanying considerations for the impacts on consumer perceptions and demand. Segmentation in the U.S. beef supply chain, with animals typically changing ownership multiple times prior to slaughter, may result in challenges in tracing and verifying the adoption of climate-focused strategies. Targeting large-scale producers may be the most efficient avenue to achieving emissions reduction goals via the adoption of methane-mitigating strategies. Younger producers could additionally be a target demographic for adoption efforts.
Reproduction and Development in Fish: Solving Bottlenecks in Modern Aquaculture
Authors: Honji Renato Massaaki , de Mello Paulo Henrique , Araújo Bruno Cavalheiro
Published: January 2025

The aquaculture industry is home to the fastest-growing activity in the agriculture sector worldwide and is one of the leading sectors in global food production [...]
Differences in Transdiaphragmatic Pressure of Dogs Suffering from Cervical or Thoracolumbar Myelopathy Anaesthetised with Isoflurane
Authors: Sarpekidou Eirini , Pavlidou Kyriaki , Savvas Ioannis , Polizopoulou Zoe , Kazakos George
Published: January 2025

Background: The purpose of this study is to evaluate differences in transdiaphragmatic pressure (Pdi) in dogs suffering from cervical myelopathy (CM) and thoracolumbar myelopathy (TLM) anaesthetised with isoflurane (ISO). Methods: This prospective cohort study included ASA II-status dogs diagnosed with either CM or TLM, anaesthetised for diagnostic or surgical purposes between September 2021 and July 2023. Patients followed the same anaesthetic protocol, and maximum Pdi was recorded at 10 (Pdimax10), 20 (Pdimax20), and 30 (Pdimax30) minutes using balloon catheters placed in the stomach (Pgast) and in the mid-third of the oesophagus (Poes). Results: A total of 50 dogs were included: 25 in the CM group and 25 in the TLM group. In the TLM group, Pdimax10 was 9.4 mmHg ± 6.1, and in the CM group, it was 7.2 mmHg ± 4.6 (p = 0.167). Pdimax20 was 10.2 mmHg ± 5.8 in the TLM group and 8 mmHg ± 5.1 in the CM group (p = 0.155). Pdimax30 was 9.2 mmHg ± 5.5 in the TLM group and 8.1 mmHg ± 5.5 in the CM group (p = 0.479). Conclusions: The findings suggest that diaphragmatic contractility is similar in dogs with CM and TLM under ISO anaesthesia.
Morphokinetic Analyses of Fishing Cat–Domestic Cat Interspecies Somatic Cell Nuclear Transfer Embryos Through A Time-Lapse System
Authors: Liu Hai-Jun , Oh Serena Jocelyn Wai Yin , Tay Nicole Liling , Lim Christina Yingyan , Hsu Chia-Da , Chua Delia Hwee Hoon , Teo Winnie Koon Lay , Loh Yuin-Han , Ng Soon Chye
Published: January 2025

A time-lapse live embryo monitoring system provides a powerful approach to recording dynamic developmental events of cultured embryos in detail. By obtaining continuous short-interval images, blastocyst formation can be predicted and embryos can be selected. The objective of this study was to investigate the morphokinetic parameters of fishing cat–domestic cat interspecies somatic cell nuclear transfer (iSCNT) embryos from one-cell to blastocyst stages, and in particular, the cleavage patterns of the first division in iSCNT and IVF embryos, as these play a central role in euploidy. Domestic cat in vitro fertilization (IVF) embryos were set up as controls. The results show that morula and blastocyst development rates were significantly lower in the iSCNT embryos compared to their IVF counterparts. All earlier time points of embryonic development before the onset of blastulation in the iSCNT embryos were significantly delayed when compared with their IVF counterparts. In iSCNT, normal embryos (defined as those that developed to the blastocyst stage) took a longer time to reach the morula stage, and these morulas were more likely to undergo compaction, compared to their arrested embryo counterparts. Direct cleavage in the first division is a morphological aberration, and was seen with greater prevalence in iSCNT embryos than control IVF embryos; these aberrant embryos displayed a significantly lower blastocyst development rate than embryos that had undergone normal cleavage. In conclusion, the morphokinetic parameters of fishing cat–domestic cat iSCNT embryos at early stages could be used to predict their potential for development to the blastocyst stage. A time-lapse imaging system is potentially a powerful tool for selecting early embryos with developmental potential for transfer, and hence, for improving feline iSCNT efficiency.
Swine Acute Diarrhea Syndrome Coronavirus: An Overview of Virus Structure and Virus–Host Interactions
Authors: Baek Seung-Hwa , Park Jung-Eun
Published: January 2025

SADS-CoV, a recently identified Rhinolophus bat coronavirus HKU2-associated swine coronavirus, is a malignant pathogen that causes acute diarrhea, severe diarrhea, and weight loss in infected piglets. The virus was first detected in Guangdong Province, China, in 2017 and has since been observed in Jiangxi, Fujian, and Guangxi Provinces. In 2023, the virus was detected in Henan Province, in inland China. This virus can infect various cell lines, including human cell lines, showing significant potential for cross-species transmission and posing a possible zoonotic threat. However, the molecular biology of SADS-CoV remains largely unknown, and there are no commercially available therapeutics or vaccines to prevent SADS-CoV infection. In this review, an update on progress in SADS-CoV research is provided, with a focus on the history of outbreaks, the characteristics of the virus, its interactions with the host, and developments in therapeutics and vaccines.
Seroepidemiological Survey of Hepatitis E Virus in Intensive Pig Farming in Vojvodina Province, Serbia
Authors: Lupulović Diana , Gnjatović Marija , Prodanov-Radulović Jasna , Ćujić Danica , Gajdov Vladimir , Samojlović Milena , Petrović Tamaš
Published: January 2025

Hepatitis E virus (HEV) is the causative agent of acute hepatitis E infection in humans. Two epidemiological patterns of the disease exist—endemic and sporadic. Genotypes 1 (HEV-1) and 2 (HEV-2) are transmitted through contaminated water and are responsible for the outbreaks of many large-scale epidemics in developing countries of Asia and Africa. Genotypes 3 (HEV-3) and 4 (HEV-4) have zoonotic potential and cause sporadic cases and small outbreaks in high-income countries. The first case of HEV infection in swine was confirmed in 1997 and later detected in other animal species. The aim of this study was to investigate the seroprevalence of HEV infection in pig farms in Vojvodina province, Serbia. Three hundred blood samples were collected from five different categories of pigs from 3 different farms on the territory of the South Bačka district in Vojvodina (Serbia). The analyses were conducted by in-house ELISA, while the western blot method was used as a confirmatory test for doubtful results. The presence of HEV IgG was detected on all three examined farms. The established seroprevalence in Farm A was 37%, 31% in Farm B, and 54% in Farm C. The mean seroprevalence for all farms was 40.66%. A higher seroprevalence was found in fatteners compared to younger categories of pigs. We concluded that HEV is widespread on pig farms with intensive management. Further analyses should be conducted with the aim of implementing a surveillance program to prevent possible human infection.
Prevalence of Batrachochytrium dendrobatidis in Amphibians in Northwestern Italy’s Protected Areas
Authors: Meletiadis Arianna , Di Nicola Matteo Riccardo , Bovero Stefano , Favelli Marco , Pezzolato Marzia , Grella Stefania , Rezza Giusi , Acutis Pier Luigi
Published: January 2025

Chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), is a significant threat to global amphibian populations, leading to widespread declines and extinctions. In the spring of 2023, Bd presence was detected in different amphibian species within two protected areas near Turin, Piedmont, Italy, following an unusual mortality event among the common toad (Bufo bufo). Histological and molecular analyses confirmed Bd infection in a deceased Pelophylax sp. specimen, prompting further investigation. Sampling of 166 individuals across seven amphibian taxa revealed an overall Bd occurrence of 38.6%, with Pelophylax sp. showing the highest detection rate (50.5% of 93 individuals). A marked difference in the positivity rate was observed between the two locations, with La Mandria (67.2% of 58) exhibiting significantly higher rates than Vauda (22.9% of 35). While Bd was identified in the sampled amphibians, the exact cause of the observed mortality remains unclear and may involve other pathogens or multifactorial causes, including but not limited to Bd. These findings represent the first documented case of Bd presence in Piedmont after an 18-year gap, highlighting the potential influence of local environmental factors on infection dynamics. The study emphasises the need for expanded, standardised field sampling and further investigation into the various factors affecting amphibian health to guide conservation efforts for vulnerable amphibian species.
Microbial Colonization and Antibiotic Resistance Profiles in Chronic Wounds: A Comparative Study of Hidradenitis Suppurativa and Venous Ulcers
Authors: Sandru Florica , Poenaru Elena , Stoleru Smaranda , Radu Andreea-Maria , Roman Alexandra-Maria , Ionescu Corina , Zugravu Aurelian , Nader Jafal Mugurel , Băicoianu-Nițescu Livia-Cristiana
Published: January 2025

Background/Objectives: Chronic wounds, including hidradenitis suppurativa (HS) and venous ulcers (VU), are commonly associated with complex microbial communities that may influence wound healing and treatment outcomes. Understanding microbial diversity and antibiotic resistance patterns is essential in order to optimize therapeutic strategies. This study aimed to investigate the microbial populations and antibiotic resistance profiles in HS and VU patients, comparing the prevalence of common pathogens and their antimicrobial resistance profiles. Methods: We conducted a cross-sectional analysis that included a total of 112 individuals (24 with the diagnosis of hidradenitis suppurativa and 88 diagnosed with venous ulcer). Wound swabs were cultured to identify bacterial species, and antibiotic resistance was assessed using a standard panel of antibiotics. Prevalence rates of key pathogens, such as Staphylococcus aureus, Pseudomonas aeruginosa, and Enterococcus faecalis, were compared between the two groups. Resistance patterns were analyzed using statistical methods to identify significant differences. Results: Staphylococcus aureus was the most common pathogen in both groups (45.8% in HS; 38.6% in VU), with a notable prevalence of methicillin-resistant S. aureus (MRSA). Pseudomonas aeruginosa was exclusively identified in VU patients (27.3%), while beta-hemolytic Streptococcus and Corynebacterium amycolatum were identified in HS cases only. Antibiotic resistance was moderate, notably in S. aureus and Proteus mirabilis, while one case of multidrug-resistant Pseudomonas aeruginosa was identified. Conclusions: This study highlights the distinctive microbial profiles and antibiotic resistance patterns in HS and VU chronic wounds. The predominance of S. aureus in both groups underscores the need for targeted therapies, while the absence of P. aeruginosa in HS wounds and the higher prevalence of other species emphasizes wound-specific microbial variations. These findings underscore the importance of personalized treatment strategies and continuous surveillance of antimicrobial resistance.
Metronidazole and Vancomycin Have a Synergic Effect, with Plant Extracts as Helpful Tools to Combat Clostridioides difficile Infections
Authors: Ruiz-Pérez Nancy C. , Bayona-Pérez Yuli , Guzmán-Gutiérrez Silvia Laura , Reyes-Chilpa Ricardo , Luna-Pineda Víctor M. , Torres Javier , Romo-Castillo Mariana
Published: January 2025

Background/Objectives: The prolonged use of antibiotics is closely related to increased infections caused by Clostridioides difficile (Cdiff). Plant-origin compounds have been expanding in recent years as the best opportunity to identify new synergic therapies to combat antibiotic-associated diseases. Mexico has incredible plant biodiversity; natural compounds with antibacterial properties are an alternative treatment. The main objective of this study was to analyze the effect of medicinal plants with an antibacterial action against toxigenic clinical Cdiff strains that have a synergic effect on the antibiotics commonly used to combat this disease. Methods: The plants were selected for plants that were previously used in research, and their extracts were tested against Cdiff strains. The antibacterial activity, synergy, and antagonism between the extracts and their synergic effect with antibiotics were evaluated. Results: Our results demonstrated that some extracts have effective antimicrobial activity and synergic effects with vancomycin and metronidazole. Conclusions: This study suggests that plant extracts and plant compounds derived from these extracts could be used as synergic-antibiotic therapy to combat Cdiff infections.
Use of Antibiotics in Companion Animals from 133 German Practices from 2018 to 2023
Authors: Merle Roswitha , Feuer Leonie , Frenzer Katharina , Plenio Jan-Lukas , Bethe Astrid , Sarnino Nunzio , Lübke-Becker Antina , Bäumer Wolfgang
Published: January 2025

Background/Objectives: While antibiotic usage in farm animals has been systematically monitored and reduced in many countries, including Germany, data on companion animals such as dogs and cats remain scarce. To address this gap, a study was conducted in Germany to analyze patterns of antibiotic use in dogs and cats. Methods: Antibiotic usage data were obtained from debevet, a cloud-based veterinary practice management software based in Berlin, Germany. Practices with fewer than 100 patients were excluded, and data from 2018 to 2022 were analyzed. Results: The analysis included 477,310 consultations of 78,381 dogs and 241,532 consultations of 55,729 cats across 133 veterinary practices. Antibiotics were used in 12.9% of dog consultations and 22.5% of cat consultations, with substantial variation across practices. Aminopenicillins, particularly amoxicillin, were the most commonly used antibiotics, while the highest-priority critically important antibiotics (HPCIAs) accounted for 12.4% of treatments. Follow-up treatments led to changes in antibiotic substances in 9.3% of cases, often within the first two days. Indications varied by species, with respiratory issues more frequent in cats and orthopedic problems in dogs. Body weight and breed characteristics influenced the likelihood of antibiotic treatment, with short-nosed breeds showing higher odds. Conclusions: The routine data analysis provided valuable insights into antibiotic use in dogs and cats, enabling tracking trends across species and indications over time. While some specific information was missing, the invoicing data’s completeness, the cost-effectiveness of their use, and their unbiased nature make them a robust tool for monitoring and informing legislative changes.
Bacteria-Inspired Synthesis of Silver-Doped Zinc Oxide Nanocomposites: A Novel Synergistic Approach in Controlling Biofilm and Quorum-Sensing-Regulated Virulence Factors in Pseudomonas aeruginosa
Authors: Karthikeyan Abirami , Thirugnanasambantham Manoj Kumar , Khan Fazlurrahman , Mani Arun Kumar
Published: January 2025

Multidrug-resistant Pseudomonas aeruginosa infections pose a critical challenge to healthcare systems, particularly in nosocomial settings. This drug-resistant bacterium forms biofilms and produces an array of virulent factors regulated by quorum sensing. In this study, metal-tolerant bacteria were isolated from a metal-contaminated site and screened for their ability to synthesize multifunctional nanocomposites (NCs). Rapid color changes in the reaction solution evidenced the biotransformation process. The potent isolated Bacillus cereus SASAK, identified via 16S rRNA sequencing and deposited in GenBank under accession number MH885570, facilitated the microbial-mediated synthesis of ZnO nanoparticles and silver-doped ZnO NCs. These biogenic nanocomposites were characterized using UV-VIS-NIR spectroscopy, FTIR, XRD, zeta potential, HRTEM, FESEM, and EDX analyses. At a sub-MIC concentration of 100 µg/mL, 2% Ag-ZnO NCs effectively inhibited virulent factor production and biofilm formation in P. aeruginosa without affecting bacterial growth. Notably, there was a significant reduction in violacein pigment (96.25%), swarming motility, and pyocyanin concentration (1.87 µg/mL). Additionally, biofilm formation (81.1%) and EPS production (83.9%) using P. aeruginosa were substantially hindered, along with reduced extracellular protease activity, as indicated by zone formation (from 2.3 to 1.8 cm). This study underscores the potential of Ag-ZnO NCs as promising agents for combating quorum sensing-mediated virulence in chronic infections caused by multidrug-resistant P. aeruginosa.
Green Tea Extract (Theaceae; Camellia sinensis L.): A Promising Antimicrobial, Anti-Quorum Sensing and Antibiofilm Candidate Against Multidrug-Resistant Campylobacter Species
Authors: Emara Mona S. , Ammar Ahmed M. , Abdelwahab Ashraf M.O. , Elgdawy Attia A. , Abdelkhalek Adel , Pet Elena , Dumitrescu Gabi , Ahmadi Mirela , Abd El-Aziz Norhan K.
Published: January 2025

Background: Thermophilic Campylobacter species are among the main culprits behind bacterial gastroenteritis globally and have grown progressively resistant to clinically important antimicrobials. Many studies have been carried out to explore innovative and alternative strategies to control antibiotic-resistant campylobacters in animal reservoirs and human hosts; however, limited studies have been performed to develop efficient control schemes against Campylobacter biofilms. Methods: This study investigated the antimicrobial and antibiofilm activities of some herbal extracts against multidrug-resistant (MDR) Campylobacter species recovered from different sources using phenotypic and molecular techniques. Results: The overall Campylobacter species prevalence was 21.5%, representing 15.25% and 6.25% for C. jejuni and C. coli, respectively. Regarding C. jejuni, the highest resistance rate was observed for amoxicillin–clavulanic acid and colistin (85.25% each), followed by cefotaxime (83.61%) and tetracycline (81.97%), whereas C. coli isolates showed absolute resistance to cefotaxime followed by erythromycin (92%) and colistin (88%). Remarkably, all Campylobacter isolates were MDR with elevated multiple antimicrobial resistance (MAR) indices (0.54–1). The antimicrobial potentials of green tea (Camellia sinensis), rosemary (Rosmarinus officinalis) and ginger (Zingiber officinale) extracts against MDR Campylobacter isolates were assessed by the disk diffusion assay and broth microdilution technique. Green tea extract showed a marked inhibitory effect against tested isolates, exhibiting growth inhibition zone diameters of 8 to 38 mm and a minimum inhibitory concentration (MIC) range of 1.56–3.12 mg/mL, unlike the rosemary and ginger extracts. Our findings reveal a respectable antibiofilm activity (>50% biofilm formation inhibition) of green tea against the preformed biofilms of Campylobacter isolates. Furthermore, real-time quantitative polymerase chain reaction (RT-qPCR) results showed a significant decrease (p < 0.05) in the expression levels of biofilm biosynthesis gene and its regulator (FlaA and LuxS, respectively) in Campylobacter isolates treated with the green tea extract in comparison with untreated ones. Conclusion: This is the first in vitro approach that has documented the inhibitory activity of green tea extract against MDR-biofilm-producing Campylobacter species isolated from different sources. Further in vivo studies in animals’ models should be performed to provide evidence of concept for the implementation of this alternative candidate for the mitigation of MDR Campylobacter infections in the future.
Detection of Delafloxacin Resistance Mechanisms in Multidrug-Resistant Klebsiella pneumoniae
Authors: Kubicskó András , Juhász János , Kamotsay Katalin , Szabo Dora , Kocsis Béla
Published: January 2025

Background: In this study, the mechanisms implicated in delafloxacin resistance in Klebsiella pneumoniae strains were investigated. Delafloxacin is a novel, broad-spectrum fluoroquinolone that has been approved for clinical application. Methods: In our study, 43 K. pneumoniae strains were assessed, antimicrobial susceptibility testing was performed via the broth microdilution method, and the minimum inhibitory concentration (MIC) values for ciprofloxacin, delafloxacin, levofloxacin, moxifloxacin, ceftazidime, cefotaxime, and imipenem were determined. Four delafloxacin-resistant K. pneumoniae strains were selected for whole-genome sequencing (WGS). Results: The MIC50 values for the 43 K. pneumoniae strains were as follows: ciprofloxacin 0.5 mg/L, levofloxacin 0.25 mg/L, moxifloxacin 0.5 mg/L, and delafloxacin 0.25 mg/L. All four selected delafloxacin-resistant K. pneumoniae strains showed extended-spectrum beta-lactamase production, and one strain exhibited carbapenem resistance. WGS enabled us to determine the sequence types (STs) of these strains, namely, ST307 (two strains), ST377, and ST147. Multiple mutations in quinolone-resistance-determining regions (QRDRs) were detected in all the delafloxacin-resistant K. pneumoniae strains; specifically, gyrA Ser83Ile and parC Ser80Ile were uniformly present in the strains of ST307 and ST147. However, in the ST377 strain, gyrA Ser83Tyr, Asp87Ala, and parC Ser80Ile, amino acid substitutions were detected. We also identified OqxAB and AcrAB efflux pumps in all delafloxacin-resistant K. pneumoniae strains. The association between beta-lactamase production and delafloxacin resistance was determined; specifically, CTX-M-15 production was detected in the ST147, ST307, and ST377 strains. Moreover, NDM-1 was detected in ST147. Conclusions: We conclude that multiple mutations in QRDRs, in combination with OqxAB and AcrAB efflux pumps, achieved delafloxacin resistance in K. pneumoniae. In our study, we report on NDM-1-producing K. pneumoniae ST147 in Hungary.
Evaluation of the Bacterial Infections and Antibiotic Prescribing Practices in the Intensive Care Unit of a Clinical Hospital in Romania
Authors: Szabó Sándor , Feier Bogdan , Mărginean Alina , Dumitrana Andra-Elena , Costin Simona Ligia , Cristea Cecilia , Bolboacă Sorana D.
Published: January 2025

Introduction: Healthcare-associated infections (HAIs) are associated with increased mortality, antimicrobial resistance, and high antibiotic use. Methods: The characteristics of bacterial resistance and antibiotic consumption in the intensive care unit (ICU) of a clinical hospital in Romania were evaluated. Demographic data of patients, identified bacteria, antibiotics administered, and their sensitivity profiles were collected and analyzed. Results: One hundred and twenty-five patients, with a median age of 68 years, mostly male (60%), were included in the study. More than one-third of the patients died. The deceased patients were older (median age of 74 years), had longer hospitalization (median of 9 days) and bacteria detected (55.3%), and had higher antibiotic consumption than the discharged patients. The most frequent bacteria identified in our cohort were Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa in deceased patients and Klebsiella pneumoniae, Escherichia coli, Staphylococcus hemolyticus, and Enterococcus faecalis in the survived group. The top three antibiotics used were ceftriaxone, metronidazole, and meropenem. Resistance to antibiotics was observed in 44.3% of the deceased group and 37.5% of patients who were discharged (χ2 = 5.5, p = 0.0628). Discussion: A positive monotonic association was observed between the number of hospitalization days and the number of antibiotic doses, with a higher correlation coefficient for deceased patients (0.6327, p < 0.0001) than in survived group (0.4749, p < 0.0001). Conclusions and Future Trends: This study provides a real picture of HAIs, the characteristics of bacteria, and the consumption of antibiotics in an ICU of a clinical hospital in Romania. The data obtained are similar to those from other international studies, but further studies are needed to reflect the real situation in Romania.
Quantitative Modeling of High-Energy Electron Scattering in Thick Samples Using Monte Carlo Techniques
Authors: Quintard Bradyn , Yang Xi , Wang Liguo
Published: January 2025

Cryo-electron microscopy (cryo-EM) is a powerful tool for imaging biological samples but is typically limited by sample thickness, which is restricted to a few hundred nanometers depending on the electron energy. However, there is a growing need for imaging techniques capable of studying biological samples up to 10 µm in thickness while maintaining nanoscale resolution. This need motivates the use of mega-electron-volt scanning transmission electron microscopy (MeV-STEM), which leverages the high penetration power of MeV electrons to generate high-resolution images of thicker samples. In this study, we employ Monte Carlo simulations to model electron–sample interactions and explore the signal decay of imaging electrons through thick specimens. By incorporating material properties, interaction cross-sections for energy loss, and experimental parameters, we investigate the relationship between the incident and transmitted beam intensities. Key factors such as detector collection angle, convergence semi-angle, and the material properties of samples were analyzed. Our results demonstrate that the relationship between incident and transmitted beam intensities follows the Beer–Lambert law over thicknesses ranging from a few microns to several tens of microns, depending on material composition, electron energy, and collection angles. The linear depth of silicon dioxide reaches 3.9 µm at 3 MeV, about 6 times higher than that at 300 keV. Meanwhile, the linear depth of amorphous ice reaches 17.9 µm at 3 MeV, approximately 11.5 times higher than that at 300 keV. These findings are crucial for advancing the study of thick biological and semiconductor samples using MeV-STEM.
Methodology and Results of Detailed 3D Seismic Exploration in the Zhezkazgan Ore District
Authors: Sirazhev Arman , Istekova Sara , Tolybaeva Dina , Togizov Kuanysh , Temirkhanova Raushan
Published: January 2025

This article presents the results obtained from a high-resolution wide-azimuthal 3D seismic reflection method used for the prediction and detailed exploration of complex ore targets in the Zhezkazgan ore district of Central Kazakhstan. We demonstrate the ability of modern seismic data processing and interpretation systems to identify underground mine objects associated with stratiform copper sandstones and improve geological models. The 3D seismic imaging tools, along with the implementation of a modern seismic processing sequence, allow for the clarification of geological structures in the studied area. The target stratigraphic horizons, large faults, and microtectonic disturbances (small faults and cracks) are clearly delineated in the seismic volumes. The use of seismic attribute analyses on geological data is tested to identify ore horizons and deposits with volumetric predictions of copper mineralization. Recommendations for further exploration drilling were developed, and five new wells were drilled. Copper mineralization was confirmed in all recommended wells. We carried out a marketing review in Kazakhstan and uncovered an increased interest among subsoil use companies in 3D seismic exploration technology to investigate existing mining objects of different genetic types. These results demonstrate the expediency of 3D seismic exploration aimed at identifying ore targets.
A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method
Authors: Zhang Ying , Wang Jie , Wu Xiuhong , Chang Rui , Luo Hongyu , Yang Juan , Wu Quan , Xu Ze , Zhong Yingfu
Published: January 2025

The efficient and non-destructive evaluation of Yongchuan Xiuya tea quality represents a key advancement in the tea industry. Near-infrared spectroscopy (NIRS), a non-invasive analytical technology, allows for the acquisition of spectral data while preserving sample integrity. Through preprocessing the spectral data and employing the synergy interval partial least squares (siPLS) method to identify characteristic spectral regions, principal component analysis (PCA) is applied, followed by the development of a Jordan–Elman artificial neural network prediction model (ANN) for tea quality assessment. The optimal spectral preprocessing approach identified in this study is a combination of multiplicative scatter correction and second derivative processing. Key spectral intervals include 4377.6 cm−1–4751.7 cm−1, 4755.6 cm−1–5129.7 cm−1, 6262.7 cm−1–6633.9 cm−1, and 7386 cm−1–7756.3 cm−1, with the first three principal components achieving a cumulative contribution rate of 99.05%. Utilizing a tanh activation function, the model exhibited strong predictive performance: an Rp2 of 0.980 and RMSEP of 0.341 for prediction set samples, and an Rp2 of 0.978 with RMSEP of 0.373 for unknown samples. These findings demonstrate the potential of integrating NIRS with Jordan–Elman neural networks for rapid and accurate Yongchuan Xiuya tea quality evaluation, establishing a solid technological foundation for the application of NIRS in tea quality assessment.
Street Quality Measurement and Accessibility Analysis Based on Streetscape Data: The Case of Mingcheng District in Xi’an City
Authors: Zhang Wenting , Chen Jiajing , Tian Yixin
Published: January 2025

As the predominant component of public space in urban areas, streets serve as a fundamental framework of a city’s spatial form. The renewal and enhancement of urban street space are integral to the broader processes of urban regeneration and the sustainable development of both urban and rural areas. This study focuses on the Mingcheng area of Xi’an, employing semantic segmentation technology to extract data and analyze the spatial characteristics of factors influencing street quality. The results of spatial network accessibility analysis are then superimposed, creating a “quality–accessibility” evaluation matrix to provide a comprehensive assessment of the streets within the study area. The findings indicate the following: (1) The spatial quality of streets in Mingcheng District ranges from 1.89 to 5.61, based on the scores ranked from highest to lowest; the streets are categorized into five quality levels: very high, high, medium, low, and very low. (2) Using a radius of 0.8 km for calculation, streets with a centrality value of 600 or above are classified as having high accessibility, whereas those below this threshold are considered to have low accessibility. (3) By constructing a “quality–accessibility” evaluation matrix, the following distribution is obtained: 21.4% of streets are classified as high-quality and high-accessibility, 27.1% as high-quality but low-accessibility, 35.3% as low-quality but high-accessibility, and 16.3% as both low-quality and low-accessibility. (4) A significant correlation exists between street quality, accessibility, and the classification of streets in Mingcheng District. Grounded in the community renewal strategy of the study area, this study investigates the practical integration of urban public space quality improvements and streetscape big data analytics. The methodology employed systematically evaluates the spatial quality of streets in Mingcheng District, offering foundational data and technical support for urban planning and renewal initiatives while contributing valuable insights to urban renewal scholarship.
A Study of the AR Solutions Used in the Dangerous Goods Acceptance Process in Airport Cargo Warehouses
Authors: Jodejko-Pietruczuk Anna , Tubis Agnieszka A. , Restel Franciszek J.
Published: January 2025

Background: The paper aims at answering cognitive questions which let one draw conclusions on AR usability in terms of supporting the dangerous goods acceptance (DGA) process before air transportation, including (1) which operations of the DGA process in airports reveal the highest potential in terms of being supported by AR solutions? (2) Which parameters of the DGA process can be improved by the use of AR solutions? (3) What benefits and drawbacks of solutions derived from the use of AR technology have been noticed in practical experiments? Research method: The study has been conducted by analysing the DGA process while considering the support of AR technology, the development of AR applications for AR goggles and a mobile phone, and their practical testing. Results: There has been a model of the DGA process has been developed in the paper as well as decision algorithms, helping operators controlling DGs before a flight, have been identified. Following these foundations, the design of functions supporting the DG acceptance process has been indicated and their expected influence on DGA results has been evaluated. Conclusions: The potential for AR support in DGA has been very positively assessed by experts; however, there have also been observed differences between functions that indicate the most promising and less promising aspects. Operators especially appreciate AR goggles when their goal is to show a virtual picture of data and related law regulations regarding controlled DGs, while interactions with AR goggles are assessed less positively. The results also prove that, at the present stage of technology development, AR tools can assist an operator and neither of the operations can be carried out automatically.
Comparative Study of Phytolacca Species Through Morphological, Chloroplast Genome, and Phylogenetic Analysis
Authors: Jeong Sumin , Kim Yeseul , Ji Heewon , Song Jun-Ho , Park Inkyu
Published: January 2025

Phytolacca acinosa Roxb. and P. americana L. are recognized as the primary sources of Phytolaccae Radix, which is traditionally utilized for various medicinal purposes. However, because of their potent toxicity, it is essential to distinguish these species. This study has aimed to clarify the classification of Phytolacca species based on their morphology and genetic differences. The chloroplast genome of P. acinosa was sequenced and comparative analyses were conducted to identify the regions of variation and nucleotide diversity among the species. The results revealed that P. acinosa shares more sequence similarity with other Phytolacca species than with P. americana. Additionally, the dN/dS analysis showed that the ndhH gene of P. americana had a value of 1.0871, indicating positive selection. The phylogenetic tree, supported by strong bootstrap values and posterior probabilities, confirmed that P. acinosa and P. americana formed distinct clusters. Furthermore, the estimated divergence time between P. acinosa and P. americana was approximately 15.07 million years ago, indicating that they diverged earlier than P. insularis, P. polyandra, P. japonica, and P. latbenia. These findings indicated that P. acinosa and P. americana are phylogenetically distinct species, highlighting the need for accurate species identification and taxonomic reassessment to ensure the safe use of these toxic medicinal plants.