Degree Of Variability Research Articles

Analysis of intervarietal soybean hybrids at the initial breeding stages

The results of the study of recombinant soybean hybrids in terms of the degree of heterosis effect, phenotypic dominance and transgressive variability in economically valuable traits with the subsequent selection of the most promising hybrid combinations are presented. The study was conducted from 2018 to 2022 in the laboratory of soybean breeding in the conditions of the steppe zone of the Primorsky Territory. Of the ten hybrid combinations obtained, the maximum effect of heterosis in the first generation was observed in the combinations Primorskaya 1385 × Kofu, Primorskaya 1385 × Dong nong 690, Hei He 38 × Taifun. Phenotypic overdominance of inheritance of indicators (from 1.6 to 76.7) was recorded in all hybrids. Transgressive variability of intervarietal soybean hybrids in the second and third generations varied by combination and generation. High values of the degree of transgression in the third generation were observed in the combinations Primorskaya 1385 × Kofu and Hei He 38 × Talppod-Fisk, in terms of the number of seeds per plant – Primorskaya 1385 × Taifun and Kofu × Taifun, in terms of seed weight per plant – Dong nong 690 × Taifun and Hei He 38 × Taifun. A decrease in the frequency of transgression of hybrids by the third generation was found. The highest values of the degree and frequency of transgression in plant height were observed in the hybrid combinations Hei He 38 × Taifun and Hei He 38 × Talppod-Fisk. Based on the results of the study of the promising soybean genotypes, recombinant hybrids with high productivity and 1000-seed weight in the combinations Kyoto × Dong nong 690 and Monsoon × Taifun were isolated. The hybrids tested had different ripeness groups. Not always the manifestation of high effect of heterosis and transgressive variability in the first – third generations serves as a guarantee of further obtaining samples with high economically valuable indicators.

Studies on Genetic Divergence Analysis in Black Gram (Vigna mungo L. Hepper) Genotypes

In order to select superior genotypes for the creation of genetic stock for hybridization program or the introduction of a crop variety, plant breeders can assist from genetic diversity both within and between plant species. Mahalanobis D2 Statistics was used to conduct the current study on Genetic Divergence and clustering pattern utilizing twenty eight different genotypes of Black gram. The experiment was conducted in Randomized Block Design with three replications at Plant Breeding Farm, Department of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India. Nine different biometrical characteristics were observed and documented viz., plant height at maturity (PH), pod length (LP), number of branches per plant (NBPP), number of clusters per plant (NCPP), number of pods per cluster (NPPC), number of pods per plant (NPPP), number of seeds per pod (NSPP), 100 seed weight (SW), and seed yield per plant (SY). All of these characters have a significant degree of variability, according to an analysis of variance. Mahalanobis (D2) static revealed considerable genetic diversity among the genotypes. Genotypes were grouped into 6 clusters. Cluster VI was the largest including 11 genotypes. The intra-cluster distance for cluster IV is the maximum and the lowest intra-cluster distance was reported for cluster II. The highest inter-cluster distance was revealed between cluster I and III and then between cluster II and III. This demonstrates unambiguously that the genotypes in this cluster exhibit a wide range of genetic variation and may be useful in a black gramme hybridization scheme to increase production. Between clusters I and II, the minimal inter-cluster distance was discovered. The percentage that each character contributed to the overall divergence was as follows: the number of pods per plant (50.997), the greater seed output (50.997), and the 100 seed weight (29.456). (8.121). It is proposed that crossings between parents from the most divergent clusters should show the highest level of heterosis as well as the greatest degree of genetic architectural variability.

Understanding complex processes better-A case study on increasing patient safety and efficiency in a central operating room

Various professional groups are involved in the daily work of the central operating room with the aim of providing the best possible treatment for each individual using modern medical technology (sociotechnical system) in acost-effective manner. Ensuring perioperative patient safety is of particular importance. At the same time, the efficient use of the central operating room is essential for the economic success of ahospital. Preoperative preparation is acomplex process with many substeps that are often difficult to manage. Historically, the focus has been on retrospective learning from errors and incidents. More recent approaches take asystemic view. Acentral idea is to consider the mostly positive course of treatment and the adjustments to daily work that are currently required by the people involved (Safety-II). By taking greater account of how the many components of the system interact, processes can be better understood and specific measures derived. This strengthens the system's ability to adapt to changes and disturbances, thus ensuring that goals are achieved. The functional resonance analysis method (FRAM) is an internationally recognized method for modelling work as done compared to work as imagined. This paper presents the application of FRAM to preoperative preparation in a major regional hospital. Is FRAM suitable for improving process understanding in preoperative preparation? An interdisciplinary project team identified relevant functions of preoperative preparation through document analysis and walkthroughs. Based on this, more than 30guided interviews were conducted with functionaries. The results were presented graphically and specific information, such as safety-related statements or reasons for the variability of functions, were also presented textually. In the next phase, statements were evaluated and compared with the target model and the job descriptions. The FRAM revealed the process as acomplex network of relationships. During the modelling process, avarying degree of centrality and variability of certain functions became apparent. From the observations, the project team selected those with high relevance for patient safety and for the efficiency of the overall process in order to prioritize starting points for deriving measures to increase resilience. These starting points relate either to single functions, such as surgical site marking or to multiple functions that are variable in their execution, such as delays due to nonsynchronized duty times. The FRAM conducted provides valuable new insights into the functioning of complex sociotechnical systems that go far beyond classical linear methods. The awareness of operational processes gained and the resulting dynamic view of interactions within the system enable specific measures to be derived that promote resilient behavior and reduce critical variability, thus contributing to increased patient safety and efficiency.

Characteristics of systemic testosterone therapy for female hypoactive sexual desire disorder-a claims database analysis.

Testosterone therapy (TTh) is recommended for postmenopausal women with hypoactive sexual desire disorder (HSDD); however, there remain insufficient data to support use of TTh in premenopausal women with sexual dysfunction. In this study, we used a large national database to evaluate prescribing trends of TTh for women with HSDD. We conducted a cohort analysis of information from electronic health records acquired from the data network TriNetX Diamond. The study cohort consisted of women 18-70 years of age with a diagnosis of HSDD. We analyzed trends of testosterone prescriptions, routes of testosterone administration, and coadministration of testosterone with estrogen. Despite an increase in rates of testosterone prescriptions for HSDD, there remains a high degree of variability in the duration of treatment, route of administration, and coadministration of estrogen with significant underprescription of testosterone. Our query of the TriNetX database led to the identification of 33 418 women diagnosed with HSDD at a mean age of 44.2 ± 10.8years, among whom 850 (2.54%) women received a testosterone prescription. The testosterone prescriptions were highly variable with regard to duration and route of administration and coadministration with estrogen. For all patients until 2015, the prevalence of testosterone prescriptions for HSDD showed a positive quadratic relation was observed. Since 2015 a linear increase in prevalence was observed, with the highest rate of increase for patients aged 41-55years. The findings of this study reveal a significant need for further research investigating the optimal use of TTh to enhance the sexual health of women with HSDD, and further studies on the long-term effects of testosterone use must be undertaken to ensure that patients have access to safe and effective treatment. Limitations to this study include patient de-identification and lack of availability of testosterone dosage data. However, this study also has many strengths, including being the first, to our knowledge, to characterize the prescribing trends of testosterone for women with HSDD. Testosterone therapy should be considered as a potential therapy for premenopausal female patients with HSDD. Further studies on the long-term effects of testosterone use must be undertaken to address disparities in the management of HSDD and to ensure patients can access treatment.

Forecasting geomagnetic activity: Neural networks, moving windows and state transition models

Geomagnetic activity shows high degrees of nonlinear variability. The probability distribution has heavy tails, and there are intermittent outliers. This has led to increased interest in forecasting using neural networks and nonlinear regressions, which include time-varying coefficient techniques. Because geomagnetic storms pose the greatest threat to satellites and power grids, there is a particular interest in predicting outlying events. The model proposed here combines two techniques. Neural networks and regressions are trained over moving windows of observations, so that the weights or coefficients adjust to new data. Second, logistic regression is used to predict the periods of high activity, and the cumulative distribution function is used as a causal input in time series and machine learning models. The data set is the Aa index, corrected for secular drift. Forecasting experiments are run over horizons of 1–4 days. The other models include time-varying parameter regressions and a recurrent neural network with fixed weights. The model combining the neural net and logistic regression achieves the most accurate forecast, although the regression is a close second. The ability to predict outliers depends on the width of the moving window. With wider windows, the overall error is lower, but the forecasted values fall into a narrower range, missing the outliers. With narrower windows, the model predicts the outliers better but is vulnerable to calling them at the wrong times, so the average error is higher. Further, while the model achieves more accurate predictions at 1 day, at longer horizons the accuracy deteriorates quite rapidly.

Genetic Assessment of Leucaena leucocephala (Lam.) de Wit Provenances by Using ISSR Markers

Inter Simple Sequence Repeats (ISSR) technique was deployed for the estimation of genetic diversity in18 Leucaena leucocephala provenances. Seeds of these provenances were collected from across the country and planted at a single location in South India. To estimate the genetic diversity/ polymorphism, DNA was extracted through Cetyl Trimethyl Ammonium Bromide (CTAB) method, visualized and analyzed the DNA bands on UV trans- illuminator gel doc (α-imager 3.2). Totally ten ISSR primers were used in this study. Among them, eight ISSR microsatellites showed a high degree of polymorphism in all the eighteen leucaena provenances used in our study. These primers successfully amplified a total of 645 bands, of which 577 bands (89 %) showed polymorphism. On average, 14.92 bands per accession were obtained and 68.28 % provenances were distinguished through these primers. The ISSR primer T(GT)9 was able to distinguish 100 % of the L. luecocephalla provenances. Cluster analysis based on the genotypic similarities assembled the 18 leucaena accessions in to three clusters. The dendrogram generated based on the 8 ISSR primers distinctively demarcated many of the L. leucocephalla accessions into different clusters indicating vast genetic diversity among the provenances. The high degree of genetic variability demonstrated by the ISSR molecular markers in L. leucocephalla can be used as a tool for assessing genetic diversity and in future leucaena genetic improvement programs.

Using DNA metabarcoding to separate natural and human provided food in wild boar diet at the northern distribution range of Europe

Wild boar Sus scrofa is increasing in numbers and extending its distribution across Europe and is difficult to control due to high reproductive potential. Dietary quality is a main determinant of wild boar population dynamics, and the extent to which they rely on human‐provided food provide a key to limit their distribution. Yet, we lack data on wild boar diet from northern Europe. Here we use DNA‐metabarcoding of faecal samples (n = 50) to determine wild boar diet during fall and winter in Norway. We mainly aimed to quantify the extent to which wild boar relies on natural or human‐provided food sources. A secondary aim was to determine whether diet varies with individual characteristics (sex, age or weight), season (winter or fall), and between the two regions with wild boar in Norway. We found a high degree of diet variability between individuals. Individuals consuming high amounts of edible fungi consumed low amounts of plant material. The (heavier) male wild boars consumed 50% more human provided food than the (lighter) female wild boars. There was no clear effect of age, season (winter versus fall), or region on diet with the sample size available. The negative correlation between plants and fungi in each sample suggests that using multiple primers targeting different taxa can provide quantitative diet information, and points to an important role of fungi (truffles) during winter and fall. The large individual variation in diet may reflect opportunistic feeding tactics in Scandinavian boreal forests, driven by a lack of acorns and few crops. Our study has relevance for understanding limitations of wild boars at their northern distribution range in Europe, and thus also provides important information for management.

Effects of Task Interference on Kinematics and Dual-Task Cost of Running in Early Childhood.

Children aged 3-8 are in a critical period for motor development and postural control. Running is a basic motor skill that children need to master in early childhood. While running, children are prone to dangerous events such as falls. This study investigates the kinematic characteristics of running by children associated with different interference tasks, i.e., normalized running, cognitive dual-tasks, and obstacle crossing tasks, and provides a theoretical foundation for the interference mechanism of children's dynamic postural control and for screening of motor disorders. Two hundred children aged 3-8 were recruited. The BTS Bioengineering infrared motion capture system was used to collect spatiotemporal and kinematic running data under three tasks. Repeated measures of variance analysis were used to compare the effects of different interference tasks and ages on children's running signs. The main and interaction effect tests were compared by the Bonferroni method. The results and conclusions are as follows: (1) Running characteristics of early childhood are influenced by interference tasks and age. With interference tasks, the overall characteristics of running by children aged 3-8 showed an increasing trend in running cycle time and a decreasing trend in stride length, step length, cadence, and speed. (2) Both cognitive and obstacle crossing tasks had costs, and cognitive task costs were greater than obstacle crossing costs. Children adopted a "task first" running strategy with different interference tasks. When facing cognitive tasks, their overall joint motion decreased, and they reduced joint motions to promote task completion. When facing obstacle crossing tasks, because of the characteristics of the task itself, children increased joint motions to cope with interference. (3) In terms of age, the running characteristics showed a nonlinear development trend in various indicators, with a degree of recurrence and high variability in adjacent age groups. (4) The dual-task interference paradigm of "postural-cognition" can be used as a motor intervention tool to promote the development of basic motor skills in early childhood.

ПАРАМЕТРИЧЕСКИЕ МЕТОДЫ ЦЕНООБРАЗОВАНИЯ: МЕТОДИКА И ПРАКТИКА ПРИМЕНЕНИЯ

The scientific article contains a review of economic publications presenting scientific research by domestic and foreign scientists on the problems of pricing in the agricultural sector of the economy: establishing the optimal level of purchase, wholesale and retail prices for agricultural products, ensuring the growth of financial results by increasing income from the sale of products, identifying the dynamics food market, forecasting price dynamics in agricultural production, methodology of pricing policy and price relations of agricultural organizations. A production feasibility study was conducted for the expected sales volume. The influence of sales timing (first batches or the main harvest of agricultural products) and price on the amount of demand (expected sales volume) is shown. A function has been constructed for the dependence of sales volume on the price of agricultural products, clearly showing that an increase in sales volume is possible if the price of agricultural products decreases. It is indicated that at the beginning of the season, a high price repels the consumer, this negatively affects the amount of revenue. A paired regression equation was constructed, and the expected sales volume was determined using regression analysis. The methodology for calculating the total costs of production, their classification depending on the degree of variability (the influence of the expected sales volume) is shown. It is noted that in total costs there is a constant part (fixed costs that do not depend on the expected sales volume) and a variable part (variable costs that change in direct proportion to changes in the expected sales volume). A profit generation model is described, including data from a regression analysis of the expected sales volume and calculation of the total costs of production.

Characterization of periods of high and low hydrological activity in the Loire River, France, between the 14th and mid-19th centuries

The Loire River watershed accounts for a fifth of metropolitan France. Nevertheless, knowledge of past floods of the Loire River and its tributaries is still very limited. This study aimed to carry out an unprecedented census of floods in the Loire River, during the Little Ice Age (LIA), from the 14th century to the mid-19th century, in order to detect periods of high and low hydrological activity. The abundant historical archives in the cities of Nevers and Decize, as well as other archives consulted, enabled us to record 303 flood events, including 220 in the study area between Digoin and Nevers in Burgundy. This census is heterogeneous over the centuries, with the majority of newly recorded flood events taking place during the 14th and 15th centuries, first half of the 16th century, and 18th and 19th centuries. The use of two types of flood indexes enabled this study to overcome the documentary bias, and detect several decadal periods of high or low hydrological activity during the LIA in the Loire River. Almost all these periods can be found on other rivers in both France and Europe, the Loire River being exposed to the confluence of several climatic influences, as confirmed by comparisons with the North Atlantic Oscillation (NAO), Grand Solar minima and temperature fluctuations. Nevertheless, the coldest periods of the LIA, coupled with negative NAO positions, correspond to periods of high hydrological activity in the Loire River. The study of flood seasonality also reveals a high degree of variability during the LIA, with a higher proportion of flood events occurring in summer and autumn compared with the current seasonal pattern.

Rhythmic properties of Sciaena umbra calls across space and time in the Mediterranean Sea.

In animals, the rhythmical properties of calls are known to be shaped by physical constraints and the necessity of conveying information. As a consequence, investigating rhythmical properties in relation to different environmental conditions can help to shed light on the relationship between environment and species behavior from an evolutionary perspective. Sciaena umbra (fam. Sciaenidae) male fish emit reproductive calls characterized by a simple isochronous, i.e., metronome-like rhythm (the so-called R-pattern). Here, S. umbra R-pattern rhythm properties were assessed and compared between four different sites located along the Mediterranean basin (Mallorca, Venice, Trieste, Crete); furthermore, for one location, two datasets collected 10 years apart were available. Recording sites differed in habitat types, vessel density and acoustic richness; despite this, S. umbra R-calls were isochronous across all locations. A degree of variability was found only when considering the beat frequency, which was temporally stable, but spatially variable, with the beat frequency being faster in one of the sites (Venice). Statistically, the beat frequency was found to be dependent on the season (i.e. month of recording) and potentially influenced by the presence of soniferous competitors and human-generated underwater noise. Overall, the general consistency in the measured rhythmical properties (isochrony and beat frequency) suggests their nature as a fitness-related trait in the context of the S. umbra reproductive behavior and calls for further evaluation as a communicative cue.

Negative affect variability differs between anxiety and depression on social media.

Negative affect variability is associated with increased symptoms of internalizing psychopathology (i.e., depression, anxiety). The Contrast Avoidance Model (CAM) suggests that individuals with anxiety avoid negative emotional shifts by maintaining pathological worry. Recent evidence also suggests that the CAM can be applied to major depression and social phobia, both characterized by negative affect changes. Here, we compare negative affect variability between individuals with a variety of anxiety and depression diagnoses by measuring the levels and degree of change in the sentiment of their online communications. Participants were 1,853 individuals on Twitter who reported that they had been clinically diagnosed with an anxiety disorder (A cohort, n = 896) or a depressive disorder (D cohort, n = 957). Mean negative affect (NA) and negative affect variability were calculated using the Valence Aware Dictionary for Sentiment Reasoning (VADER), an accurate sentiment analysis tool that scores text in terms of its negative affect content. Findings showed differences in negative affect variability between the D and A cohort, with higher levels of NA variability in the D cohort than the A cohort, U = 367210, p < .001, r = 0.14, d = 0.25. Furthermore, we found that A and D cohorts had different average NA, with the D cohort showing higher NA overall, U = 377368, p < .001, r = 0.12, d = 0.21. Our sample is limited to individuals who disclosed their diagnoses online, which may involve bias due to self-selection and stigma. Our sentiment analysis of online text may not completely capture all nuances of individual affect. Individuals with depression diagnoses showed a higher degree of negative affect variability compared to individuals with anxiety disorders. Our findings support the idea that negative affect variability can be measured using computational approaches on large-scale social media data and that social media data can be used to study naturally occurring mental health effects at scale.

Toward Standardized Aerovirology: A Critical Review of Existing Results and Methodologies.

Understanding the airborne survival of viruses is important for public health and epidemiological modeling and potentially to develop mitigation strategies to minimize the transmission of airborne pathogens. Laboratory experiments typically involve investigating the effects of environmental parameters on the viability or infectivity of a target airborne virus. However, conflicting results among studies are common. Herein, the results of 34 aerovirology studies were compared to identify links between environmental and compositional effects on the viability of airborne viruses. While the specific experimental apparatus was not a factor in variability between reported results, it was determined that the experimental procedure was a major factor that contributed to discrepancies in results. The most significant contributor to variability between studies was poorly defined initial viable virus concentration in the aerosol phase, causing many studies to not measure the rapid inactivation, which occurs quickly after particle generation, leading to conflicting results. Consistently, studies that measured their reference airborne viability minutes after aerosolization reported higher viability at subsequent times, which indicates that there is an initial loss of viability which is not captured in these studies. The composition of the particles which carry the viruses was also found to be important in the viability of airborne viruses; however, the mechanisms for this effect are unknown. Temperature was found to be important for aerosol-phase viability, but there is a lack of experiments that directly compare the effects of temperature in the aerosol phase and the bulk phase. There is a need for repeated measurements between different research groups under identical conditions both to assess the degree of variability between studies and also to attempt to better understand already published data. Lack of experimental standardization has hindered the ability to quantify the differences between studies, for which we provide recommendations for future studies. These recommendations are as follows: measuring the reference airborne viability using the "direct method"; use equipment which maximizes time resolution; quantify all losses appropriately; perform, at least, a 5- and 10-min sample, if possible; report clearly the composition of the virus suspension; measure the composition of the gas throughout the experiment. Implementing these recommendations will address the most significant oversights in the existing literature and produce data which can more easily be quantitatively compared.

Metagenomic profiling of viral and microbial communities from the pox lesions of lumpy skin disease virus and sheeppox virus-infected hosts.

It has been recognized that capripoxvirus infections have a strong cutaneous tropism with the manifestation of skin lesions in the form of nodules and scabs in the respective hosts, followed by necrosis and sloughing off. Considering that the skin microbiota is a complex community of commensal bacteria, fungi and viruses that are influenced by infections leading to pathological states, there is no evidence on how the skin microbiome is affected during capripoxvirus pathogenesis. In this study, shotgun metagenomic sequencing was used to investigate the microbiome in pox lesions from hosts infected with lumpy skin disease virus and sheep pox virus. The analysis revealed a high degree of variability in bacterial community structures across affected skin samples, indicating the importance of specific commensal microorganisms colonizing individual hosts. The most common and abundant bacteria found in scab samples were Fusobacterium necrophorum, Streptococcus dysgalactiae, Helcococcus ovis and Trueperella pyogenes, irrespective of host. Bacterial reads belonging to the genera Moraxella, Mannheimia, Corynebacterium, Staphylococcus and Micrococcus were identified. This study is the first to investigate capripox virus-associated changes in the skin microbiome using whole-genome metagenomic profiling. The findings will provide a basis for further investigation into capripoxvirus pathogenesis. In addition, this study highlights the challenge of selecting an optimal bioinformatics approach for the analysis of metagenomic data in clinical and veterinary practice. For example, direct classification of reads using a kmer-based algorithm resulted in a significant number of systematic false positives, which may be attributed to the peculiarities of the algorithm and database selection. On the contrary, the process of de novo assembly requires a large number of target reads from the symbiotic microbial community. In this work, the obtained sequencing data were processed by three different approaches, including direct classification of reads based on k-mers, mapping of reads to a marker gene database, and de novo assembly and binning of metagenomic contigs. The advantages and disadvantages of these techniques and their practicality in veterinary settings are discussed in relation to the results obtained.

Geographical Origin Authentication-A Mandatory Step in the Efficient Involvement of Honey in Medical Treatment.

Nowadays, in people's perceptions, the return to roots in all aspects of life is an increasing temptation. This tendency has also been observed in the medical field, despite the availability of high-level medical services with many years of research, expertise, and trials. Equilibrium is found in the combination of the two tendencies through the inclusion of the scientific experience with the advantages and benefits provided by nature. It is well accepted that the nutritional and medicinal properties of honey are closely related to the botanical origin of the plants at the base of honey production. Despite this, people perceive honey as a natural and subsequently a simple product from a chemical point of view. In reality, honey is a very complex matrix containing more than 200 compounds having a high degree of compositional variability as function of its origin. Therefore, when discussing the nutritional and medicinal properties of honey, the importance of the geographical origin and its link to the honey's composition, due to potential emerging contaminants such as Rare Earth Elements (REEs), should also be considered. This work offers a critical view on the use of honey as a natural superfood, in a direct relationship with its botanical and geographical origin.

The Contribution of 2D and 3D Geometric Morphometrics to Lithic Taxonomies: Testing Discrete Categories of Backed Flakes from Recurrent Centripetal Core Reduction

AbstractPaleolithic lithic assemblages are usually dominated by flakes and display a high degree of morphological variability. When analyzing Paleolithic lithic assemblages, it is common to classify flakes into categories based on their morphological and technological features, which are linked to the position of the flake in the reduction sequence and how removals are organized in a given production method. For the analysis of Middle Paleolithic lithic assemblages, two categories of flakes are commonly identified: core–edge flakes and pseudo-Levallois points. A third type, core–edge flakes with a limited back, is also commonly found in the archaeological literature, providing an alternative category whose definition does not match the two previous types but shares many of their morphological and technological features. The present study addresses whether these three flakes constitute discrete categories based on their morphological and technological attributes. 2D and 3D geometric morphometrics are employed on an experimental set composed of the three categories of flakes to quantify morphological variation. Machine learning models and principal components biplots are used to test the discreteness of the categories. The results indicate that geometric morphometrics succeed in capturing the morphological and technological features that characterize each type of product. Pseudo-Levallois points have the highest discreteness of the three technological products, and while some degree of mixture exists between core edge flakes and core edge flakes with a limited back, they are also highly distinguishable. We conclude that the three categories are discrete and can be employed in technological lists of products for the analysis of lithic assemblages and that geometric morphometrics is useful for testing for the validity of categories. When testing these technological categories, we stress the need for well-defined and shared lithic analytical units to correctly identify and interpret the technical steps and decisions made by prehistoric knappers and to properly compare similarities and differences between stone tool assemblages. These are key aspects for current research in which open datasets are becoming more and more common and used to build interpretative techno-cultural models on large geographical scales. Now more than ever, lithic specialists are aware of the need to overcome differences in taxonomies between different school traditions.

A novel heterozygous mutation in PTHLH causing autosomal dominant brachydactyly type E complicated with short stature.

Brachydactyly type E (BDE) is a general term characterized by variable shortening of metacarpals and metatarsals, with phalanges affected frequently. It can occur as an isolated form or part of syndromes and manifest a high degree of phenotypic variability. In this study, we have identified the clinical characteristics and pathogenic causes of a four-generation pedigree with 10 members affected by BDE and short stature. After the informed consent was signed, clinical data and peripheral blood samples were collected from available family members. Karyotype analysis, array-CGH, next-generation sequencing, and Sanger sequencing were employed to identity the pathogenic candidate gene. No translocation or microdeletion/duplication was found in karyotype analysis and array-CGH; hence, a novel heterozygous mutation, c.146dupA. p.S50Vfs*22, was detected by next-generation sequencing in PTHLH gene, leading to a premature stop codon. Subsequently, the mutation was confirmed by Sanger sequencing and co-segregation analysis. In this study, we described a novel heterozygous mutation (c.146dupA. p.S50Vfs*22) of gene PTHLH in a Chinese family. The mutation could induce a premature stop codon leading to a truncation of the protein. Our study broadened the mutation spectrum of PTHLH in BDE.

The Bioavailability of CHF6563, an Ethanol-Free, Sublingual Neonatal Buprenorphine Formulation: A Bridging Study Conducted in Adults

OBJECTIVE Sublingual buprenorphine has demonstrated efficacy for treatment of the neonatal opioid withdrawal syndrome (NOWS), but the current formulation used in clinical practice contains 30% ethanol. Ethanol as a pharmacologically active excipient ideally should be removed from neonatal formulations. The objective of this study was to determine the relative bioavailability of a novel ethanol-free ­formulation (CHF6563) compared with the commonly used ethanolic solution in a phase I, open-label, 2-period, ­single-dose, crossover study in healthy adults. METHODS Eighteen adult opioid-naïve volunteers were administered one of the formulations in a randomized crossover treatment. After a 10-day washout period, subjects received the other formulation. Serial blood samples were drawn for pharmacokinetic analysis over 48 hours. RESULTS The geometric mean ratio (90% CIs) of the ethanol-free buprenorphine solution AUC0–last was 0.80 (0.65–0.99) and Cmax was 0.81 (0.66–0.99) compared with reference ethanolic formulation. The ­ethanol-free formulation had a greater degree of intersubject variability than the ethanol-containing ­reference formulation (coefficient of variation of 59% vs 31.5%, respectively, for AUC0–last). CONCLUSIONS In an adult population, a novel ethanol-free formulation of buprenorphine containing widely used excipients demonstrated a slight decrease in bioavailability when compared with an ethanolic solution. These results will inform those seeking to develop ethanol-free pediatric drug formulations.

The Influencing Mechanism and Motivation of the Bystander on the Choice of Chinese Address Forms.

Chinese address terms exhibits a high degree of variability. Guided by the extended context of situation framework within the field of systemic functional linguistics, and taking the dialogues of the modern Chinese TV drama In the Name of People as examples, this study investigated how the bystander influences the choice of address terms. It is found that the appearance of the bystander influences the choice of address terms. Yet, it is not a direct process but is mediated by conversational atmosphere. Specifically, the presence of a bystander triggers "situational synergy" or changes interpersonal relationship, and then change the conversational atmosphere, both paths ultimately impact the choice of address terms. The underlying forces that lead to the variability of Chinese address terms are guān běn wèi and miàn zǐ. This study suggests the intricate impact of context on language choice, as well as the interdependency of context variables. In addition, by taking the concept of face beyond its European/North American milieu, and relocating it following the Chinese point of view, group orientation is valued, which contributes to face study.

Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing.

Chronic wounds affect millions of people worldwide every year. An adequate assessment of a wound's prognosis is critical to wound care, guiding clinical decision making by helping clinicians understand wound healing status, severity, triaging and determining the efficacy of a treatment regimen. The current standard of care involves using wound assessment tools, such as Pressure Ulcer Scale for Healing (PUSH) and Bates-Jensen Wound Assessment Tool (BWAT), to determine wound prognosis. However, these tools involve manual assessment of a multitude of wound characteristics and skilled consideration of a variety of factors, thus, making wound prognosis a slow process which is prone to misinterpretation and high degree of variability. Therefore, in this work we have explored the viability of replacing subjective clinical information with deep learning-based objective features derived from wound images, pertaining to wound area and tissue amounts. These objective features were used to train prognostic models that quantified the risk of delayed wound healing, using a dataset consisting of 2.1 million wound evaluations derived from more than 200,000 wounds. The objective model, which was trained exclusively using image-based objective features, achieved at minimum a 5% and 9% improvement over PUSH and BWAT, respectively. Our best performing model, that used both subjective and objective features, achieved at minimum an 8% and 13% improvement over PUSH and BWAT, respectively. Moreover, the reported models consistently outperformed the standard tools across various clinical settings, wound etiologies, sexes, age groups and wound ages, thus establishing the generalizability of the models.