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This project report describes the process of a team of undergraduate researchers (Chemistry and Nursing majors), who analyzed 20th-century medical kits housed at The Columbus Museum (Columbus, GA, USA). Curators and museum personnel were unfamiliar with the contents and needed assistance in identifying the various chemical contents. Items were identified by the Taylor Lab, which was followed by fully elucidating the chemical information in a chemical report and student-curated exhibit. The intent of this project was to help the museum be aware of how to properly curate and store the medical collections for an extended period. Laboratory analyses were executed to determine the composition of the aged items in the collections. The historical context of these kits and their contents provided knowledge of medicine to the community of Columbus, Georgia, in addition to explaining the use of medically related items in the 20th century.

Video lectures are commonly used in online and flipped courses, but students often find it challenging to stay engaged and retain lecture content. The current study examined to what extent the power of electroencephalography (EEG) brain activity in the theta (4-7 Hz), alpha (8-12 Hz) and beta (13-20 Hz) bands can dynamically capture fluctuations of student engagement and retention throughout pre-recorded lectures. EEG activity was recorded from 33 college students throughout four video-based chemistry lectures. In-video probes were used to assess both student engagement and content retention at random moments during the video. Our findings reveal that there are significant fluctuations in self-reported engagement throughout pre-recorded lectures. Further, among the three frequency bands that were tested, only alpha power closely tracked fluctuations in self-reported engagement at the individual student level. In-lecture fluctuations in engagement were associated with content retention, but content retention itself was not well captured by EEG activity in any of the frequency bands that were examined. These findings suggest that the design of video lectures should consider fluctuations in student engagement and potentially incorporate self-reported and physiological indicators of engagement. Future research should further investigate how EEG and other physiological engagement indicators can be used in real time to personalize online instruction.

Over the past 20 years, root cause analysis (RCA) has become one of the most widely used retrospective methods for detecting safety hazards in medicine and healthcare. Despite its wide use in management practice and growing popularity in academic research, there is currently a dearth of coverage of RCA in popular healthcare management textbooks and pedagogical publications. This paper addresses this gap by presenting innovative instructional materials and recommendations for teaching RCA in healthcare management. Using an episode of "Grey's Anatomy" TV show, this experiential learning exercise takes students through the steps of RCA and makes use of a range of RCA tools, including high-level flowchart, fishbone diagram, "five whys", corrective action plan, and others. The exercise, which was classroom tested and received positive student feedback, can be adapted to a range of healthcare management classes. Because RCA can have widespread, lifesaving consequences, healthcare management courses can significantly benefit from integrating this exercise into classroom pedagogies.

Plant blindness, the inability of people to notice plants, is of current interest in the natural sciences community. It has been hypothesized that communities of varying cultures may have improved plant sight. Researchers used an online survey to assess citizens ability to identify plants. The survey also intended to address the concern of elders from the Turtle Mountain Band of Chippewa Indians (TMBCI) who have seen reduced abundance of traditional plant species. The survey assessed knowledge of local wetland, grassland, and forest habitats; names of plants; and how citizens use plant features in identification. The survey gathered demographic data to determine trends across different demographic groups including age and ethnicity. A total of 216 participants took the survey, the majority classified themselves as female and Native American or Alaska Native. Our findings indicated that participants were able to identify forest and wetland plants the best, but struggled with grassland plants. Older individuals were more able to identify plants when compared to younger individuals. Ecologically, increasing plant knowledge is vital to rebuilding and maintaining the diversity of local habitats, but culturally the impacts are just as important. The practice of using traditional plants in medicine and ceremony is an integral part of the TMBCI culture. As both the knowledge and the plants disappear in younger generations, so does their unique cultural identity.

Meta-analysis allows researchers to combine evidence from multiple studies, making it a powerful tool for synthesizing information on the safety profiles of new medical interventions. There is a critical need to identify subgroups at high risk of experiencing treatment-related toxicities. However, this remains quite challenging from a statistical perspective as there are a variety of clinical risk factors that may be relevant for different types of adverse events, and adverse events of interest may be rare or incompletely reported. We frame this challenge as a variable selection problem and propose a Bayesian hierarchical model which incorporates a horseshoe prior on the interaction terms to identify high-risk groups. Our proposed model is motivated by a meta-analysis of adverse events in cancer immunotherapy, and our results uncover key factors driving the risk of specific types of treatment-related adverse events.

Context: Athletic trainers must develop the knowledge and skills to recognize signs and symptoms of dermatologic conditions in the physically active population. Objective: To present an overview of an educational technique aimed at promoting the development of skills related to dermatological care that meets clinical practice needs and accreditation requirements for athletic training programs at all levels. Background: Curricular content standards in athletic training education require learners to obtain the skills necessary to perform an evaluation, formulate a diagnosis, and establish a plan of care relevant to the integumentary system, including dermatological conditions. Cognitive Learning Theory uses specific sequencing of content and learning sessions to promote student engagement in the learning process. Description: Within an evaluation course for nonorthopaedic conditions, a 3-class session learning module was developed to target instruction, application, and assessment of dermatological conditions. This article describes the development, overview of content, delivery methods, outcomes to date, and connection to the instructional standards in athletic training. Clinical Advantage(s): Integrating evaluation of dermatological conditions into athletic training curricula enhances clinical decision-making skills and direct application of these skills to clinical practice. Conclusion(s): Athletic trainers should be able to effectively identify, manage, and potentially refer patients with dermatological conditions. Educating future athletic trainers to be able to prevent the spread of infection, decrease disease transmission, and enhance their ability to recognize and manage dermatological conditions is vital to their development toward independent clinical practice.

The use of traditional medicine as alternative or complimentary therapy is gaining prominence in primary health care worldwide. This is because of the efficacy in the management of mild, chronic seemingly incurable ailments/diseases. Though the publicity is on the increase from country to country in the world, however, one cannot conclude that the information has reached all classes of people. This study therefore investigated identification, knowledge and consumption practice of herbal medicine among the hearing-impaired. The study adopted survey research design. A total of 50 students with hearing impairment were selected from different locations in Ibadan, Oyo State, Nigeria. Traditional medicinal inventory was used to collect data with reliabilities of 0.72, 0.80 and 0.67 respectively based on perception, knowledge and consumption practices. Two research questions were answered and two hypotheses tested. Result revealed wrong perception and low knowledge of traditional/alternative therapy. Also, there was no significant difference in the identification and consumption practice and no significant influence of religion on consumption practice among the respondents. Based on the results, it is recommended that proper education should be given to students with hearing impairment about traditional medicine.

Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children.

In a recent unit of study in an undergraduate Health Sciences pathway course, we identified a set of essays which exhibited similarity of content but demonstrated the use of bizarre and unidiomatic language. One of the distinct features of the essays was the inclusion of unusual synonyms in place of expected standard medical terminology. We suspected the use of online paraphrasing tools, but were also interested in investigating the possibility of the use of online language translation tools. In order to test the outputs of these tools, we used as a seed document a corpus of text which had been provided to the students as prompt for the essay. This document was put through six free online paraphrasing tools and six separate iterative language translations through the online Google Translate[TM] tool. The results demonstrated that free online paraphrasing tools did not identify medical terminology as standardised or accepted nomenclature and substituted synonyms, whereas Google Translate™ largely preserved medical terminology. We believe that textual indicators such as the absence of standard discipline-based terminology may be of assistance in the identification of machine paraphrased text.

Objective: The present article reports on the discovery and translation of a chapter in a 1775 medical textbook by the German physician, Melchior Adam Weikard, which describes attention disorders. This article is believed to be the earliest reference to the syndrome that today is known as attention deficit hyperactivity disorder, or ADHD. Method: The authors briefly discuss previous efforts to identify the earliest description of ADHD thought to be the lectures of George Still in 1902 and subsequently, the medical textbook by the physician, Alexander Crichton, in 1798. Background is provided on Weikard followed by the English translation of his short chapter on attention deficits and the rationale for why it should be viewed as relevant to the history of ADHD. Results and Conclusions: The authors argue that Weikard's description in 1775 now deserves to be credited with providing the first description of attention disorders in the medical literature known to date. (Contains 12 notes.)

The number reduction task (NRT) allows us to study the transition from implicit knowledge of hidden task regularities to explicit insight into these regularities. To identify sleep-associated neurophysiological indicators of this restructuring of knowledge representations, we measured frequency-specific power of EEG while participants slept during the night between two sessions of the NRT. Alpha (8-12 Hz) EEG power during slow wave sleep (SWS) emerged as a specific marker of the transformation of presleep implicit knowledge to postsleep explicit knowledge (ExK). Beta power during SWS was increased whenever ExK was attained after sleep, irrespective of presleep knowledge. No such EEG predictors of insight were found during Sleep Stage 2 and rapid eye movement sleep. These results support the view that it is neuronal memory reprocessing during sleep, in particular during SWS, that lays the foundations for restructuring those task-related representations in the brain that are necessary for promoting the gain of ExK.

Individual differences in the expression of autism complicate research on the nature and treatment of this disorder. In the Modifier Model of Autism (Mundy et al. 2007), we proposed that individual differences in autism may result not only from syndrome specific causal processes, but also from variability in generic, non-syndrome specific "modifier processes" that affect the social and emotional development of all people. One study supporting this model found that measures of resting anterior EEG asymmetry, a measure reflecting complex brain processes associated with generic individual differences in approach and avoidance motivation, may help explain differences in the expression of autism in children without intellectual disabilities (Sutton et al. "2005"). In the current study, we partially replicated the observation that children with autism who exhibited a pattern of left frontal EEG asymmetry tended to display milder levels of social symptoms, although in the current sample this pattern applied only to HFA children with relatively lower verbal IQs. New observations indicated that left frontal EEG asymmetry was also associated with retrospective parent reports of significantly later age of onset of symptoms, but also higher levels of self-reported outward expressions of anger as well as symptoms of obsessive compulsive disorder in school-age higher functioning children with ASD. Therefore, the results of this study provide a new and fully independent set of observations, which indicate that individual differences in anterior EEG asymmetry may significantly moderate the expression and developmental course of autism. This observation may have clinical implications for identifying meaningful diagnostic sub-groups among children with autism. (Contains 3 tables and 4 figures.)

Analogies are important tools in human reasoning and learning, for resolving problems and providing arguments, and are extensively used in medicine. Analogy and similarity involve a structural alignment or mapping between domains. This cognitive mechanism can be used to make inferences and learn new abstractions. Through analogies, we try to explain a knowledge to be achieved (the target), with pieces of information already familiar to the learner (the source), keeping in mind the constraints of similarity, structure and purpose. The purpose of this essay is to examine the use of analogies in medicine. We provide a brief review of the theoretical basis of analogical reasoning. This theoretical background is discussed in the light of actual examples of analogies retrieved from medical literature. In medicine, analogies have long been used to explain several physiologic and pathologic processes. Besides deeper structural relations, superficial attribute similarity is extensively used in many medical specialties. These attribute similarities are important in naming, categorizing and classifying, and play a role as learning and memorizing tools. Analogies also serve as basis for medical nomenclature. The choice of the source of analogies is highly dependent on cultural background, and may derive from ancient or diverse cultures. Learning by analogies may thus require research on culture diversity in order to establish an adequate justification and to comprehend the purpose of an analogy. (Contains 1 table.)

Objective: The goal of the present study is to test whether there are Attention-Deficit Hyperactivity Disorder (ADHD)-related differences in brain electrical activity patterns across arousal, activation and vigilance states. Method: The sample consists of 80 adults (38 with ADHD and 42 non-ADHD controls) who were recruited for a family study on the genetics of ADHD. Patterns of cortical activity were measured using electroencephalography (EEG) during baseline and sustained attention conditions and compared according to ADHD diagnostic status. Cortical activity was examined separately for the first, middle, and last 5-min of the sustained attention task to assess whether patterns differed over time and according to ADHD status. Results: In frontal and parietal regions, patterns of activation in the alpha (8-10 Hz) range differed according to ADHD status, indicating increased cortical arousal among ADHD subjects. Beta power (13-14 and 17-18 Hz) also differed between ADHD and controls, indicating increased cortical activation is associated with ADHD. Behavioral performance on the sustained attention task did not differ significantly by diagnosis. EEG correlates of cognitive performance differed significantly ADHD diagnosis and were primarily in frontal regions. Brain activation patterns recorded during the sustained attention task suggest that the ADHD group exhibited significantly increased cortical activation at the end of the task when compared to controls. Conclusions: Adults with ADHD may have different neural organization primarily in frontal regions which results in the need for continually high levels of cortical activation to maintain sustained attention. (Contains 2 figures and 3 tables.)

To define the spectrum of epilepsy in Wolf-Hirschhorn syndrome (WHS) better, we studied 87 patients (54 females, 33 males; median age 5.6 years; age range 1-25.6 years) with confirmed 4p16.3 deletion. On the basis of clinical charts, we retrospectively analyzed the evolution of the electroencephalogram (EEG) findings and seizures. Epilepsy occurred in 81 patients (93%) within the first 3 years of life. Sixty out of 81 (74%) had generalized tonic-clonic seizures, which was the only seizure pattern in 32. Tonic spasms occurred in 15 out of 81 (18%), complex partial seizures in 10 out of 81 (12%), and clonic seizures in 6 out of 81 (7%). Seizures were frequently triggered by fever (59 out of 81; 73%), and occurred in clusters in 36 out of 72 (50%). In the same 36 (50%), unilateral or generalized clonic or tonic-clonic status epilepticus occurred during the first 3 years of life. Twenty-seven out of 81 patients (33%) developed atypical absences between 1 and 6 years, accompanied by a myoclonic component involving the eyelids and the hands. Distinctive EEG abnormalities were observed in 73 out of 81 (90%). Epilepsy was well controlled in 65 out of 81 (81%), mainly with valproate and phenobarbital, and improved with age in all. Thirty-two out of 58 (55%) are currently seizure-free. Seizures stopped at a median age of 4 years 6 months. Epilepsy represents a major clinical challenge in WHS; however, it has a good prognosis. Early diagnosis and treatment of atypical absences, subtle and often misdiagnosed, is mandatory.

In this study, an assessment phase is undertaken to determine intimate partner violence (IPV) prevalence. An anonymous survey is followed by a chart review documenting identification of IPV. Two methods are attempted to increase assessment/documentation of IPV: a physician educational intervention and a nursing routine inquiry intervention in one quadrant of the practice. The IPV physician educational intervention includes didactic sessions, an IPV counselor, and resource information. The routine inquiry intervention involves nurses screening female patients for IPV at check-in. IPV is found to be prevalent in a general medicine clinic. An enhanced educational intervention does not increase IPV documentation. A routine inquiry intervention significantly increases documentation of lifetime IPV but does not impact current IPV identification. (Contains 3 tables.)

Fewer and fewer programs are training graduate students and postdoctoral fellows in the classical anatomical disciplines. Nonetheless, there remains a need at all levels of clinical and basic science education for skilled instructors of anatomy, histology, and embryology. Two sessions at the 2006 annual meeting of the American Association of Anatomists (AAA) explored whether a system of accreditation would benefit students, institutions, and training programs. Although the value of accreditation was controversial, three challenges for the various anatomical societies emerged from these discussions: (1) To identify the skills and knowledge that should be shared among all anatomists, and the more specific skills and knowledge needed for the diverse settings in which anatomists work. (2) To address the historical inattention of institutions to the training of educators. (3) To develop strategies to lobby institutions and national organizations to support the training and work of educators in the anatomical sciences. One approach to meeting these challenges would be to develop guidelines for training programs. These guidelines would help graduate students seek the training they need, provide institutions with a benchmark to assess or develop training programs, and provide the basis for focusing lobbying efforts targeted at institutions or existing accreditation bodies. (Contains 3 tables.)

This study compared the consistency of the Short Form (SF) and the Long Form (LF) of the Bruininks-Oseretsky Test of Motor Proficiency (BOTMP) in identifying preschool children with motor impairment (MI). One hundred and forty-four Greek preschool children participated (74 males, 70 females; mean age 5y 2mo [SD 5mo], range 4y 6mo-5y 6mo). Although total SF and LF scores were highly correlated (r = 0.85), paired t-tests indicated significant differences (t = -27.466, p = 0.001). SF total scores (mean 58.72 [SD 7.28]) were higher than LF total scores (mean 47.38 [SD 9.43]). SF had low sensitivity (13.6%) and negative predictive value (72.5%) for identifying MI. The BOTMP-SF does not appear to be a valid test for the identification of MI in 5-year-old children. (Contains 1 figure and 1 table.)

Abstract Accurate bacterial identification is essential for determining the causative agent of an infection, thus facilitating appropriate treatment and management strategies in both human and animal health contexts. Some species in the Vibrio genus are recognized pathogens, associated with a variety of infections. However, identification of these bacteria is oftentimes controversial. Therefore, we aimed to evaluate different identification approaches in terms of their reliability in distinguishing Vibrio species. To achieve this, we selected a set of 40 Vibrio isolates previously recovered from water and floating plastic samples in a large bay environment and identified them employing MALDI-TOF mass spectrometry, and rrs and pyrH gene sequencing. A subset of isolates was also submitted to whole genome sequencing. Overall, MALDI-TOF was found to be a fast-screening methodology for identification, notably at genus-level. However, for better species discrimination, pyrH gene sequencing stood out as a more reliable tool in contrast to rrs gene sequencing and MALDI-TOF, as corroborated by whole genome sequencing analysis.

Abstract Culicoides, among the tiniest and most abundant hematophagous insects globally, serve as vectors for a variety of pathogens such as viruses, bacteria, parasites, protozoa, and nematodes. This study aimed to identify Culicoides species and assess their spatial distribution and seasonal occurrence in selected districts of the Central, South, and West Gondar zones, Northwest Ethiopia. A cross-sectional study was conducted between January to July 2023. A total of 44 UV light- onderstepoort traps were deployed in the study districts near specific areas. The traps were operational from dusk (6:00 PM) until dawn (6:00 AM) and were suspended at a height of 1.5 to 2 m above the ground. Poisson regression was used to assess associations, the Shannon diversity index to measure diversity, and QGIS 3.22.6 to create maps. In this study, 8,857 Culicoides were captured across the 44 trapping sites. Of the total flies captured flies, 8,838 were identified as belonging to 12 distinct species, while the classification of the remaining 19 flies remained unclear. Notably, C. kingi (54.01%) was the most prevalent species, followed by C. imicola (44.55%). The abundance of Culicoides observed from January to late April (3505) was significantly lower compared to the wet season (5355), with a marked increase in the capture of C. kingi (2499) from May to late July. A statistically significant association (p

INTRODUCTION. The quality evaluation of live anthrax vaccines will benefit from the implementation of alternative testing methods that are capable of specific identification of the Bacillus anthracis spore antigen using the appropriate diagnostic products that are authorised in the Russian Federation for the detection of B. anthracis spores.AIM. This study aimed to investigate the applicability of immunofluorescence analysis to the identification of live anthrax vaccines and compare this method with immunochromatography.MATERIALS AND METHODS. The study used commercial batches of a live anthrax vaccine and Russian diagnostic products, including diagnostic dry adsorbed fluorescent anti-anthrax spore immunoglobulins and an immunochromatographic assay (ICA) reagent kit for rapid detection and identification of B. anthracis spores (ICA system for B. anthracis). For smears and ICA system reactions, the authors prepared working solutions of bacterial suspensions at spore concentrations typical of the B. anthracis STI-1 vaccine strain. The spore concentrations were achieved using the pharmacopoeial reference standard (RS) for the opacity of bacterial suspensions of 10 international units (IU). Identification reactions involved the registration of immune complex formation.RESULTS. Immunofluorescence tests of the live anthrax vaccine demonstrated bright greenish-yellow envelope fluorescence with an intensity score of 3+ to 4+ for smears stained with diagnostic immunoglobulins at 1:32 and 1:64 dilutions. Immunochromatographic tests of the live anthrax vaccine detected the spore antigen at vaccine concentrations of 109 and 108 spores/mL, with the test strips showing two distinct dark-pink lines indicative of immunoprecipitation. According to the results obtained using the selected methods, the tested microbial culture was confirmed as B. anthracis.CONCLUSIONS. Immunochromatography and immunofluorescence tests with appropriate diagnostic preparations are convenient and reliable tools for the species-specific detection of B. anthracis STI-1 spores in the live anthrax vaccine. The results obtained in the anthrax vaccine identification tests provide a basis for recommending the above methods as supplementary alternatives to Ziehl–Neelsen bacteriological staining, which is currently prescribed by the State Pharmacopoeia of the Russian Federation.

Background Carotid atherosclerosis (CAS) is often considered an early warning signal for cardiovascular diseases (CVD). The diagnostic technique of carotid artery Doppler ultrasonography has not been included in public health service programs, and the Framingham Risk Score (FRS) lacks accuracy in assessing CAS risk, hindering the identification of CAS by primary healthcare personnel. Currently, there is a lack of research on machine learning methods to identify CAS in the medium-high risk population assessed by FRS. Objective To construct a CAS risk prediction model for the medium-high risk population assessed by FRS using machine learning methods, compare its discriminative efficacy, select the optimal model, and assist primary healthcare personnel in identifying CAS more conveniently and accurately. Methods Using convenience sampling method, a total of 674 local residents from two townships in Liuzhou City, Guangxi Zhuang Autonomous Region, who met the inclusion criteria from 2019 to 2021 and 2023, were selected as the study subjects. Relevant information was collected, and biochemical indicators were measured in fasting blood and urine samples. FRS was used to assess the risk of CVD occurrence, and carotid ultrasound was used to diagnose CAS. Among the 517 subjects from 2019 to 2021, a random 8∶2 split was used to create a training set and a validation set. The training set was used to build Logistic regression, Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Gradient Boosting Decision Tree (GBDT) models, while the validation set was used for internal validation. The 157 subjects from 2023 served as the test set for external validation. Feature variables were selected using Lasso regression analysis, and discriminative efficacy was evaluated using sensitivity, specificity, accuracy, F1 score, and area under curve (AUC) value. External validation assessed the generalization ability of the optimal model using AUC value, and the Shapley Additive exPlanation (SHAP) method explored the important variables influencing the optimal model's identification of CAS. Results Lasso regression analysis identified 15 feature variables: age, BMI, systolic blood pressure (SBP), smoking, drinking, hypertension, total cholesterol, high density lipoprotein cholesterol, C-reactive protein (CRP), fasting plasma glucose, apolipoprotein B (ApoB), lipoprotein a (LPA), aspartate aminotransferase (AST), AST/ alanine aminotransferase, urinary microalbumin creatinine ratio. The constructed Logistic regression, RF, SVM, XGBoost, and GBDT models exhibited high AUC values, with the GBDT model showing the best discriminative performance. Its sensitivity, specificity, accuracy, F1 score, and AUC value were 0.755 1, 0.836 4, 0.798 1, 0.778 9, and 0.834 9, respectively, and the external validation AUC value was 0.794 0. The SHAP method revealed that age, SBP, CRP, LPA, and ApoB were the top five factors influencing the GBDT model's identification of CAS. Conclusion Logistic regression, RF, SVM, XGBoost, and GBDT models for identifying CAS based on machine learning all demonstrated high discriminative performance, with the GBDT model exhibiting the best comprehensive discriminative efficacy and strong generalization ability.

Introduction. The evaluation of microbial biodiversity is an important step in the process of its conservation, and the identification of bacterial strains of biotechnological interest allows their application as support for the development of sustainable agriculture technologies. Material and methods. From the lakes of the "La Izvor" park, 213 types of bacteria, 148 of them pathogenic, were isolated. From the non-pathogenic ones, those of biotechnological interest were determined the enzymatic properties, and antimicrobial activity and were identified by molecular biological methods after that preserved by the lyophilization method with the determination of viability before and after lyophilization. Results. The microbial biodiversity of the "La Izvor" lakes was studied, 213 types of bacterial colonies were isolated in pure culture, which of 148 proved to be enteropathogenic belonging to the genera Escherichia, Salmonella, Shigella, Enterobacter and Klebsiella and other strains from the Enterobacteriaceae family. The purpose of the research consisted of the isolation and identification of non-pathogenic bacteria of biotechnological interest with different properties that could serve to elaborate and improve the development of sustainable agriculture technologies. Nineteen strains with enzymatic properties and high antifungal activity against phytopathogenic fungi were selected for molecular identification, passported, submitted to the NCNM and preserved by the lyophilization method for determination of valuable properties for a long time. Conclusions. In the lakes of "La Izvor" park, there is a very large variety of microorganisms, especially bacteria, some of which are enteropathogenic bacteria that can cause diseases in the population. Selected non-pathogenic strains stored in the NCNM can be applied against phytopathogens that cause dangerous diseases and damage in agriculture's major crops. As a result of lyophilization, we found that all strains showed osmotic and thermal shock tolerance and had a viability of over 75%.

Abstract Crystal violet dye poses significant health risks to humans, including carcinogenic and mutagenic effects, as well as environmental hazards due to its persistence and toxicity in aquatic ecosystems. This study focuses on the efficient removal of crystal violet dye from aqueous media using novel Co3O4/Co3(BO3)2 nanostructures synthesized via the Pechini sol–gel approach. The nanostructures, which were abbreviated to EN600 and EN800, were fabricated at calcination temperatures of 600 and 800 °C, respectively. X-ray diffraction (XRD) analysis revealed that the synthesized samples have a cubic Co3O4 phase and an orthorhombic Co3(BO3)2 phase, with mean crystal sizes of 43.82 nm and 52.93 nm for EN600 and EN800 samples, respectively. The Brunauer–Emmett–Teller (BET) surface areas of EN600 and EN800 samples were 65.80 and 43.76 m2/g, respectively, indicating a significant surface area available for adsorption. Optimal removal of crystal violet dye was achieved at a temperature of 298 K, a contact time of 70 min, and a pH of 10. The maximum adsorption capacities were found to be 284.09 mg/g for EN600 and 256.41 mg/g for EN800, which are notably higher compared to many conventional adsorbents. The adsorption process followed the pseudo-second-order kinetic model and fitted well with the Langmuir isotherm. The adsorption was exothermic, spontaneous, and physical in nature. Moreover, the adsorbents exhibited excellent reusability, retaining high efficiency after multiple regeneration cycles using 6 mol/L hydrochloric acid. These findings highlight the potential of these Co3O4/Co3(BO3)2 nanostructures as effective and sustainable materials for water purification applications.

Objective: To determine the prevalence of cheiloscopic patterns in Pakistani population. Study Design: Cross-sectional study. Place and Duration of Study: The study was conducted at Post Graduate Medical Institute (PGMI), Lahore, Capital diagnostic Centre CDC Islamabad, HITEC Taxilla for a duration of 12 months from 1 September 2021 to 31 August 2022. Materials and Methods: The lip prints of 320 males and females were taken by applying lip shades and then cellophane tapes (2 inches). They were transferred to an A4 sheet (white A4 ROCO Premium 80g copy papers) and then observed with magnifying hand lenses Deluxe magnifier (70mm diameter). The data was analyzed by IBM SPSS statistics 27.0. Chi square test was applied and a p value of ≤ 0.05 was considered statistically significant. Results: The results showed differences in all individuals in both lip prints. The predominant lip pattern was type III, observed in 159 (99.4%) male participants while it was observed in all the female participants. Type I' observed in 37 (23.1%) female participants and IV are greater in females 160(100%) than males. Type II (was) greater in males 152 (95.0%) than females. Conclusion: Lip prints are useful tool that can be used as biometric markers in dentistry and forensic odontology.

Abstract This paper proposed the additional fractional gradient descent identification algorithm based on the multi-innovation principle for autoregressive exogenous models. This algorithm incorporates an additional fractional order gradient to the integer order gradient. The two gradients are synchronously used to identify model parameters, thereby accelerating the convergence of the algorithm. Furthermore, to address the limitation of conventional gradient descent algorithms, which only use the information of the current moment to estimate the parameters of the next moment, resulting in low information utilisation, the multi-innovation principle is applied. Specifically, the integer-order gradient and additional fractional-order gradient are expanded into multi-innovation forms, and the parameters of the next moment are simultaneously estimated using multi-innovation matrices, thereby further enhancing the parameter estimation speed and identification accuracy. The convergence of the algorithm is demonstrated, and its effectiveness is verified through simulations and experiments involving the identification of a 3-DOF gyroscope system.

Abstract With business process optimization, technological advancement, equipment capability enhancement, and other means, the Railway Passenger Service Department in China is consistently working to improve the efficiency and convenience of passenger entry and exit procedures at railway stations. Concerning passengers’ checkout, not only conventional identification approaches based on manual control, identification card, and magnetic thermal paper ticket are supported, but also a recent contactless identification process based on face recognition is applied in some stations. To further improve the contactless identification ability for checkout, an advanced contactless checkout process based on gait-augmented face recognition is innovatively put forward, in which a weakly-supervised body segmentation network named Dwsegnet and an improved GaitSet model are proposed. Through comparison with various models, the effectiveness of both Dwsegnet and the improved GaitSet is validated. Specifically, the contactless identification rate of gait-augmented face recognition is improved by 2.31% when compared to single-modal face recognition, which demonstrates the superiority of the proposed process.

Abstract The potential of intraoral 3D photo scans in forensic odontology identification remains largely unexplored, even though the high degree of detail could allow automated comparison of ante mortem and post mortem dentitions. Differences in soft tissue conditions between ante- and post mortem intraoral 3D photo scans may cause ambiguous variation, burdening the potential automation of the matching process and underlining the need for limiting inclusion of soft tissue in dental comparison. The soft tissue removal must be able to handle dental arches with missing teeth, and intraoral 3D photo scans not originating from plaster models. To address these challenges, we have developed the grid-cutting method. The method is customisable, allowing fine-grained analysis using a small grid size and adaptation of how much of the soft tissues are excluded from the cropped dental scan. When tested on 66 dental scans, the grid-cutting method was able to limit the amount of soft tissue without removing any teeth in 63/66 dental scans. The remaining 3 dental scans had partly erupted third molars (wisdom teeth) which were removed by the grid-cutting method. Overall, the grid-cutting method represents an important step towards automating the matching process in forensic odontology identification using intraoral 3D photo scans.

Background and Aim: Lip prints just like fingerprints follow unique patterns in every individual and are said to vary significantly even within the same family. Lip prints can be recognized from 6th week of intrauterine life and remain unchanged throughout their life. The objective of the present study was to evaluate personal identification through lip print patterns with additional reference to twins and members of the same family. Materials and Methods: Lips of 75 males, 75 females, and 30 twins were studied in various quadrants. In addition, the pattern in the middle 10 mm of the lower lip was also evaluated to note the pattern distribution and dominance of the type of pattern in different genders. Lip print patterns in five families across three generations (eight members each of the same family) were observed for the existence of inheritance of patterns from their ancestors. Results: Among males and females, the most common pattern in the middle 10 mm of the lower lip is Type III (34.66%) and Type IV (32%), respectively. In the middle 10 mm of the lower lip, 33.33% of twins have similar lip patterns but with differences in its arrangements. The result showed different lip print patterns even in twins and among the members of the same family across three generations, with some similar patterns which suggesting hereditary influences in lip prints. Conclusion: In the present, we can see that lip prints are unique and permanent for every human being even among twins and individuals of the same family.

Abstract Background Glomerular lesions are the main injuries of diabetic nephropathy (DN) and are used as a crucial index for pathologic classification. Manual quantification of these morphologic features currently used is semi-quantitative and time-consuming. Automatically quantifying glomerular morphologic features is urgently needed. Methods A series of convolutional neural networks (CNN) were designed to identify and classify glomerular morphologic features in DN patients. Associations of these digital features with pathologic classification and prognosis were further analyzed. Results Our CNN-based model achieved a 0.928 F1-score for global glomerulosclerosis and 0.953 F1-score for Kimmelstiel-Wilson lesion, further obtained a dice of 0.870 for the mesangial area and F1-score beyond 0.839 for three glomerular intrinsic cells. As the pathologic classes increased, mesangial cell numbers and mesangial area increased, and podocyte numbers decreased (p for all

Background: Identification is a crucial objective in autopsies, particularly when dealing with unknown, decomposed, or mutilated bodies. Various parameters are employed to establish the identity of a human being, and among them, stature holds significant importance in forensic casework. Stature estimation is pivotal in determining identity, especially when confronted with skeletal remains, fragmented bodies resulting from mass disasters, or mutilated corpses. Objectives: The main objective of the present study was to determine the relation between foot length and the stature of individual by using correlation coefficient in both sexes. To provide a linear regression model for estimation of stature from foot length in both males and females. Methodology: This cross-sectional study was conducted on 400 medical students aged between 20-25 years, studying at Andhra Medical College, Visakhapatnam, Andhra Pradesh, India. The length of both right and left foot from the posterior most part of the heel to the longest toe is taken using measuring tool and height of the individual is measured using standard scale and both are compared. Using all the data the study aims to establish a linear regression model for estimation of stature from foot length in both male and female. Conclusion: In all the groups, a significant and positive correlation between stature and foot length was established, and regression equations were derived for both the feet. An attempt was made to study the correlation between stature and foot length separately in both the sexes. However, owing to no significant difference in the results obtained, entire study sample was taken as a single unit for deriving the regression equation. In conclusion, the individual foot length proves to be useful for stature estimation, offering crucial support for forensic experts and anthropologists.

Abstract P. ginseng is a precious traditional Chinese functional food, which is used for both medicinal and food purposes, and has various effects such as immunomodulation, anti-tumor and anti-oxidation. The growth year of P. ginseng has an important impact on its medicinal and economic values. Fast and nondestructive identification of the growth year of P. ginseng is crucial for its quality evaluation. In this paper, we propose a FC-CNN network that incorporates spectral and spatial features of hyperspectral images to characterize P. ginseng from different growth years. The importance ranking of the spectra was obtained using the random forest method for optimal band selection. Based on the hyperspectral reflectance data of P. ginseng after radiometric calibration and the images of the best five VNIR bands and five SWIR bands selected, the year-by-year identification of P. ginseng age and its identification experiments for food and medicinal purposes were conducted, and the FC-CNN network and its FCNN and CNN branch networks were tested and compared in terms of their effectiveness in the identification of P. ginseng growth years. It has been experimentally verified that the best year-by-year recognition was achieved by utilizing images from five visible and near-infrared important bands and all spectral curves, and the recognition accuracy of food and medicinal use reached 100%. The FC-CNN network is significantly better than its branching model in the effect of edible and medicinal identification. The results show that for P. ginseng growth year identification, VNIR images have much more useful information than SWIR images. Meanwhile, the FC-CNN network utilizing the spectral and spatial features of hyperspectral images is an effective method for the identification of P. ginseng growth year.

Fusarium crown rot (FCR), caused by Fusarium spp., is a devastating disease in wheat growing areas. Previous studies have shown that FCR is caused by co-infection of F. graminearum, F. pseudograminearum, F. proliferatum and F. verticillioides in Hubei Province, China. In this study, a method was developed to simultaneously detected DNAs of F. graminearum, F. pseudograminearum, F. proliferatum and F. verticillioides that can efficiently differentiate them. Whole genome sequence comparison of these four Fusarium spp. was performed and a 20 bp sequence was designed as an universal upstream primer. Specific downstream primers of each pathogen was also designed, which resulted in a 206, 482, 680, and 963 bp amplicon for each pathogen, respectively. Multiplex PCR specifically identified F. graminearum, F. pseudograminearum, F. proliferatum and F. verticillioides but not from other 46 pathogens, and the detection limit of target pathogens is about 100 pg/μl. Moreover, we accurately determined the FCR pathogen species in wheat samples using the optimized multiplex PCR method. These results demonstrate that the multiplex PCR method established in this study can efficiently and rapidly identify F. graminearum, F. pseudograminearum, F. proliferatum, and F. verticillioides, which should provide technical support for timely and targeted prevention and control of FCR.

Introduction. Artificial neural networks are widely utilized in medical fields, such as dentistry, molecular genetics, immunology, cardiology, and others. Forensic medicine is no exception, as artificial neural networks are also beginning to find applications in this field. The aim of this study was to demonstrate the potential for predicting human anthropometric parameters using dermatoglyphic parameters, which could enhance the method of dermatoglyphic identification. Materials and methods. We analyzed dermatoglyphs of the hands and feet from 567 individuals aged 18 to 59 years, with no genetic or endocrine disorders and no musculoskeletal problems. Results and discussion. The outcome of our work resulted in the development of the "Dermatoglyphics For Prediction (DFP)" program [Author's Certificate No. 74561. Computer program "Forensic Medical Identification Program using Artificial Neural Networks" Registration date: 07.11.2017]. This software device, after appropriate training, enables the prediction of an individual's ethnic-territorial affiliation and the presence of specific anthropometric parameters using such input data as dermatoglyphs of the hands and feet. Conclusions. The increasing needs of the Ukrainian community for the identification of unknown individuals, given the geopolitical situation related to Russian invasion in Ukraine (the constant threat of ballistic missile attacks and unmanned aerial vehicles across the entire territory of Ukraine, which could lead to mass casualties), justify the relevance and the search for innovative approaches to dermatoglyphic identification expertise, utilizing state-of-the-art technologies, particularly neural network-based prediction of anthropometric parameters, sex, and ethnic-territorial affiliation of an unknown person, using input parameters such as dermatoglyphs of the hands and feet, with the aim of enhancing the evidentiary value of identification expertise. This software device, after appropriate training, allows for the prediction of ethnic-territorial affiliation and the presence of specific anthropometric parameters in the examined individual using such input data as dermatoglyphs of the hands and feet.

The loblolly pine (Pinus taeda L.) is one of the most profitable forest species worldwide owing to its quick growth, high wood yields, and strong adaptability. The AP2/ERF gene family plays a widespread role in the physiological processes of plant defense responses and the biosynthesis of metabolites. Nevertheless, there are no reports on this gene family in loblolly pine (P. taeda). In this study, a total of 303 members of the AP2/ERF gene family were identified. Through multiple sequence alignment and phylogenetic analysis, they were classified into four subfamilies, including AP2 (34), RAV (17), ERF (251), and Soloist (1). An analysis of the conservation domains, conserved motifs, and gene structure revealed that every PtAP2/ERF transcription factor (TF) had at least one AP2 domain. While evolutionary conservation was displayed within the same subfamilies, the distribution of conserved domains, conserved motifs, and gene architectures varied between subfamilies. Cis-element analysis revealed abundant light-responsive elements, phytohormone-responsive elements, and stress-responsive elements in the promoter of the PtAP2/ERF genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of potential target genes showed that the AP2/ERF gene family might play a critical role in plant growth and development, the response to environmental stresses, and metabolite biosynthesis. Utilizing quantitative real-time PCR (qRT-PCR), we examined the expression patterns of 10 randomly selected genes from Group IX after 6 h of treatments with mechanical injury, ethephon (Eth), and methyl jasmonate (MeJA). The AP2/ERF gene family in the loblolly pine was systematically analyzed for the first time in this study, offering a theoretical basis for exploring the functions and applications of AP2/ERF genes.

Traditional mediation analysis, which relies on linear regression models, has faced criticism due to its limited suitability for cases involving different types of variables and complex covariates, such as interactions. This can result in unclear definitions of direct and indirect effects. As an alternative, causal mediation analysis using the counterfactual framework has been introduced to provide clearer definitions of direct and indirect effects while allowing for more flexible modeling methods. However, the conceptual understanding of this approach based on the counterfactual framework remains challenging for applied researchers. To address this issue, the present article was written to highlight and illustrate the definitions of causal estimands, including controlled direct effect, natural direct effect, and natural indirect effect, based on the key concept of nested counterfactuals. Furthermore, we recommend using 2 R packages, ‘medflex’ and ‘mediation’, to perform causal mediation analysis and provide public health examples. The article also offers caveats and guidelines for accurate interpretation of the results.

The regulatory standards require that the identification of live plague vaccines and the liquid tularaemia allergen (Tularin) should be performed by immunofluorescence. A major drawback of the recommended method is its labour intensive nature. However, immunochromatography represents an alternative method that offers a number of advantages, including rapid testing and easy result interpretation. The aim of the study was to assess the applicability of immunochromatography to the identification of live plague vaccines and the liquid tularaemia allergen (Tularin).Materials and methods. The authors performed identification tests using samples of the pharmacopoeia standard for live plague vaccines, three commercial batches of a live plague vaccine, and two batches of the liquid tularaemia allergen (Tularin). These samples were tested using immunochromatographic assay (ICA) reagent kits for rapid detection and identification of Yersinia pestis (ICA System for Y. pestis) and Francisella tularensis (ICA System for F. tularensis) manufactured by the State Scientific Center for Applied Microbiology and Biotechnology.Results. The findings show that immunochromatography is an effective, rapid, and species-specific method to confirm the presence of Y. pestis in a sample of a live plague vaccine or F. tularensis in a sample of the liquid tularaemia allergen (Tularin). To perform identification tests by immunochromatography, the authors recommend diluting live plague vaccine samples to a concentration of 109 bacterial cells/mL and using undiluted samples of the liquid tularaemia allergen (Tularin).Conclusions. The study results may support the inclusion of ICA into the regulatory standards for live plague vaccines and the liquid tularaemia allergen (Tularin) as an alternative identification method.

Turfgrass is frequently used today in the arrangement and aesthetic beautification of grounds in parks, gardens, median strips, recreation and sports areas. In this study, surveys were conduct in turfgrass areas in the three provinces of Türkiye. As a result of isolations from the collected samples, 44 Microdochium isolates obtained belonging to five different species including M. bolleyi, M. majus, M. nivale, M. paspali and M. sorghi which have different virulences. Identification of the isolates were performed by rDNA-ITS sequence analyzes. According to the pathogenicity tests results, the most virulent species was M. nivale M62 with a disease severity value of 91.93%. This was followed by M. bolleyi M1584 and M. majus M63, with disease severity values of 91.12% and 91.08%, respectively. The virulence of M. bolleyi isolates varied among the species. Only 13 of the 31 M. bolleyi species were found to be virulent in turfgrass, M. paspali was less virulent than the others in Poa pratensis. The most virulent isolate of each Microdochium species was tested on four different cereal varieties. M. sorghi and M. paspali had low virulence values in barley and oat than the other Microdochium species, while the other three species showed high virulence in turfgrass, wheat and barley, other than oat. In the phylogenetic neighboor-joining tree belonging to 44 Microdochium isolates clearly demonstrated that the isolates were grouped into five distinct clusters. M. nivale and M. majus were considered genetically close isolates.

Humic acids (HA) are important natural compounds that are characterized by a wide range of biological activity and therapeutic impact on different pathological processes. Sapropels are natural healing resources that contain a large amount of HA. The pharmaceutical market of Ukraine needs domestic drugs with dermatotropic action based on natural compounds that have a combined antibacterial, wound healing and anti-inflammatory activity, as well low toxicity.

Tomato wilt is a widespread soilborne disease of tomato that has caused significant yield losses in many tomato growing regions of the world. Previously, it was reported that tomato wilt can be caused by many pathogens, such as Fusarium oxysporum, Ralstonia solanacearum, Ralstonia pseudosolanacearum, Fusarium acuminatum, and Plectosphaerella cucumerina. In addition, we have already reported that Fusarium brachygibbosum caused symptomatic disease of tomato wilt for the first time in China. The symptoms of tomato wilt caused by these pathogens are similar, making it difficult to distinguish them in the field. However, F. brachygibbosum specific identification method has not been reported. Therefore, it is of great importance to develop a rapid and reliable diagnostic method for Fusarium brachygibbosum to establish a more effective plan to control the disease. In this study, we designed F. brachygibbosum-specific forward primers and reverse primers with a fragment size of 283bp located in the gene encoding carbamoyl phosphate synthase arginine-specific large chain by whole genome sequence comparison analysis of the genomes of eight Fusarium spp.. We then tested different dNTP, Mg2+ concentrations, and annealing temperatures to determine the optimal parameters for the PCR system. We evaluated the specificity, sensitivity and stability of the PCR system based on the optimized reaction system and conditions. The PCR system can specifically identify the target pathogens from different fungal pathogens, and the lower detection limit of the target pathogens is at concentrations of 10 pg/uL. In addition, we can accurately identify F. brachygibbosum in tomato samples using the optimized PCR method. These results prove that the PCR method developed in this study can accurately identify and diagnose F. brachygibbosum.

The domain of unknown function 560 (DUF560), also known as the PDDEXK_6 family, is a ubiquitous plant protein that has been confirmed to play critical roles in Arabidopsis root development as well as ABA and abiotic responses. However, genome-wide identification and expression pattern analysis in rice (Oryza sativa) still need to be improved. Based on the phylogenetic relationship, 10 OsDUF506 genes were identified and classified into four subfamilies. Segmental duplication was essential to the expansion of OsDUF506s, which were subjected to purifying selective pressure. Except for OsDUF50609 and OsDUF50610, the OsDUF506s shared colinear gene pairs with five monocot species, showing that they were conserved in evolution. Furthermore, the conserved domains, gene structures, SNPs distribution, and targeting miRNAs were systematically investigated. Massive cis-regulatory elements were discovered in promoter regions, implying that OsDUF506s may be important in hormone regulation and abiotic stress response. Therefore, we analyzed plant hormone-induced transcriptome data and performed qRT-PCR on eight OsDUF506s under drought, cold, and phosphorus-deficient stresses. The results revealed that most OsDUF506s respond to ABA and JA treatment, as well as drought and cold conditions. In conclusion, our findings provided insights into the evolution and function of OsDUF506s, which could benefit crop breeding in the future.