Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF ORGANIZATIONAL MEMORY ON INNOVATION PERFORMANCE OF PRIVATE ENTERPRISES: A MODERATING EFFECT BASED ON ABSORPTIVE CAPACITY

To survive in the fierce competition and its own limitations, private enterprises in China must innovate. Since most private enterprises lack material resources, it is realistic to rely on organizational memory to innovate. Based on the perspective of organizational memory, this paper explores the relationship between organizational memory, absorptive capacity and innovation performance. This paper collects data through questionnaire, and verifies the relationship between organizational memory and innovation performance by correlation analysis and regression analysis. It is found that organizational memory and innovation performance have a significant positive correlation at the level of 0.01, the correlation coefficient between organizational memory and innovation performance is 0.538 (P < 0.01), the correlation coefficient between declarative organizational memory and innovation performance is 0.468 (P < 0.01). The correlation coefficient between process organizational memory and innovation performance is 0.308 (P < 0.01). The results show that there is a significant positive correlation between organizational memory and innovation performance of private enterprises. Potential absorptive capacity has a significant moderating effect between organizational memory dimensions and innovation performance, while real absorptive capacity has a significant moderating effect between organizational memory dimensions and innovation performance. Thus, improving the organizational memory level and absorptive capacity of private enterprises has a positive role in promoting their innovation performance. This study examines the relationship between organizational memory, absorptive capacity and innovation performance, which expands the scope of organizational memory research, and provides a reference for private enterprise innovation from the perspective of organizational memory and absorptive capacity.
Assessment of Lavandula angustifolia L. essential oil as a natural feed additive on broiler chicken’s growth, blood physiological markers, immunological status, intestinal histomorphology, and immunoexpression of CD3 and CD20

Abstract Lavender essential oil (LVEO) (Lavandula angustifolia L) was investigated for its impacts on broiler chicken growth, intestinal histomorphology, blood biomarkers, and immunological status. Four hundred 3-days-old male chicks (ROSS 308 broilers) (91.47 ± 0.15 g) were randomised to receive four test groups and nourished on basal diets having four levels of LVEO: 0, 200, 400, and 600 mg Kg−1 over 35 days. Dietary addition of LVEO linearly increased the body weight and weight gain during the grower period, while its addition did not affect the overall growth performance. Dietary LVEO increased the villous height, and the higher villous height was detected in the LVEO600 group. Dietary LVEO increased cluster of differentiation (CD3 and CD20) immunoexpression within the spleens of birds given LVEO400 and LVEO600 diets. Serum triiodothyronine and thyroxine hormone levels were the highest in the LVEO400 and LVEO600 groups. LVEO supplementation raised serum growth hormone levels in a dosage-dependent manner. The serum concentrations of glucose and leptin hormone did not vary significantly between the LVEO-supplemented and LVEO0 groups. All levels of supplemental LVEO diminished serum cholesterol, triglyceride, and low-density lipoprotein cholesterol levels, while raising the high-density lipoprotein cholesterol concentration. Total protein values were augmented in all LVEO groups, with the highest concentrations of albumin and globulin in the LVEO600 group, followed by the LVEO400 group. Supplemental LVEO increased serum concentration of complement 3, interleukin-10, and lysozyme activity in a level-dependent manner. Modifications in the birds’ physiological activities, blood biochemical, intestinal morphological characteristics, and immunological status support the conclusion that dietary LVEO supplementation had numerous positive effects. However, it didn’t influence the birds’ growth. HIGHLIGHTS LVEO supplementation linearly increased the body weight during the grower stage, while its addition did not affect the overall growth performance. LVEO supplementation had a hypolipidemic effect, and the LVEO400 and LVEO600 groups showed the highest serum triiodothyronine and thyroxine hormone levels. LVEO supplementation (200-600 mg Kg−1 diet) improved the immune status of birds, indicated by increased serum concentration of complement 3, interleukin-10, and lysozymes activity with increased CD3 and CD20 immunoexpression in the spleens of LVEO400 and LVEO600 groups.
A Review of Quantitative Precipitation Forecasts and Their Use in Short- to Medium-Range Streamflow Forecasting

AbstractUnknown future precipitation is the dominant source of uncertainty for many streamflow forecasts. Numerical weather prediction (NWP) models can be used to generate quantitative precipitation forecasts (QPF) to reduce this uncertainty. The usability and usefulness of NWP model outputs depend on the application time and space scales as well as forecast lead time. For streamflow nowcasting (very short lead times; e.g., 12 h), many applications are based on measured in situ or radar-based real-time precipitation and/or the extrapolation of recent precipitation patterns. QPF based on NWP model output may be more useful in extending forecast lead time, particularly in the range of a few days to a week, although low NWP model skill remains a major obstacle. Ensemble outputs from NWP models are used to articulate QPF uncertainty, improve forecast skill, and extend forecast lead times. Hydrologic prediction driven by these ensembles has been an active research field, although operational adoption has lagge.
Unconventional Rocky Mountain Spotted Fever Presentation From Kentucky: A Compelling Case Report and Literature Review

Rocky Mountain spotted fever (RMSF) is a potentially lethal tick-borne disease caused by Rickettsia rickettsii, known for its tropism for vascular endothelial cells. Its classic symptoms include fever, headaches, and a rash, but atypical presentations can challenge diagnosis. We present the case of a 71-year-old male with fever, weakness, and hiccups, evolving into confusion. Laboratory findings showed severe hyponatremia, leukocytosis, and abnormal blood parameters. Initial management addressed sepsis and hyponatremia, leading to symptom improvement. Later, a fever of 106.5°F prompted ICU transfer, broad-spectrum antibiotics, and testing for tick-borne diseases. The patient reported tick exposure and received prophylactic doxycycline. Follow-up confirmed the RMSF diagnosis based on serological testing and clinical symptoms. This case highlights the diagnostic challenges posed by atypical RMSF presentations and underscores the importance of early detection and treatment to prevent complications.
IoT-based health care system for emotional and heart rate monitoring

An IoT-based remote health monitoring system helps patient’s especially older adults and non-communicable disease (NCD) patients to get medical assistance or advice without being physically present in the hospital or medical centre. This system provides regular health monitoring from anywhere by having access to the Internet. One of the important elements is the physiological parameters which indicate the health status of the monitored patients. Literature study shows that most of the previous works monitor blood pressure, respiratory rate, temperature, ECG, blood oxygenation, diabetes, and hypertension. There have been little works paid attention to measuring the emotional level of the patient. Therefore, this paper explains the development of an IoT-based health monitoring system that measures the emotional level of the patient apart from other essential physiological parameters. The system consists of a microcontroller, two sensors, a wireless communication module, and an IoT cloud display, focusing on measuring the heart rate, body temperature, SpO2, and emotional level. For the heart rate and body temperature readings, the measurements acquired from the developed system show a close agreement with those of the established brand ROSSMAX with an error of less than 5%. For the emotional level test, there are 83.3% out of twelve subjects agree that the GSR value shows her feeling.
SEISMOTECTONICS OF VRANCEA (ROMANIA) ZONE: THE CASE OF CRUSTAL SEISMICITY IN THE FOREDEEP AREA *

Vrancea seismic zone is located in Romania at the South-Easter Carpathians bend, where at least three major tectonic units are in contact: East Europen Plate, Intra-Alpine Plate and Moesian Plate. The seismicity of the Vrancea zone consist of both crustal and intermediate-depth earthquakes. The crustal events are moderate (Mw ≤ 5.5) and generally occur in clusters in space (the subzones Râmnicu Sărat and Vrâncioaia, situated in the Vrancea epicentral area and adjacent to it) and in time (main shocks accompanied by aftershocks and sometimes by foreshocks or swarms). Seismic activity in Râmnicu Sărat zone consist of shallow earthquakes with moderate magnitudes Ms ≤ 5.2 (Radu, 1979), wich frequently occur in clusters. The hypocenters are generally situated at focal depths between 15 and 30 km within the foredeep region lying in front of the major bending of the Carpatian Arc. The sequence of 29 November-03 December, 2007 consist of 37 events with 1.8 ≤ MD ≤ 3.9. The earthquakes hypocenters are grouped in a parallel direction with the Carpathian Bend, and the fault plane solution (of the main shock) is reverse. The seismic sequence from Râmnicu Sărat, 2007 was compared with the previous sequences knowing the regional seismotectonics.
Visual influence on human locomotion

p and, secondly, a significant modulating effect of rOF on the self-chosen WV. Backward flow resulted in a decrease, whereas forward flow induced an increase of WV. Within the analyzed range, a linear relationship was found between rOF and WV. Thirdly, WV-related modulations in stride length (SL) and stride frequency (SF) were different from normal walking: whereas in the latter a change in WV is characterized by a stable linear relationship between SL and SF (i.e., an approximately constant SL to SF ratio), optic flow-induced changes in WV are closely related to a modulation of SL (i.e., a change of SL-SF ratio). Fourthly, this effect of rOF diminished by about 45% over the entire walking distance of 800 m. The results suggest that the adjustment of WV is the result of a summation of visual and leg-proprioceptive velocity informations. Visual information about ego-motion leads to an unintentional modulation of WV by affecting specifically the relationship between SL and SF. It is hypothesized that the space-related parameter (SL) is influenced by visually perceived motion information, whereas the temporal parameter (SF) remains stable. The adaptation over the entire walking distance suggests that a shift from visual to leg-proprioceptive control takes place. &kwd:words Vision · Locomotion · Optic Flow Adaptation · Human&bdy:
Veranderende Datasets Binnen de Marketing: Puur Zegen of Ook een Bron van Frustratie?

textabstractRede in verkorte vorm uitgesproken bij de openbare aanvaarding van het ambt van hoogleraar Bedrijfskunde, in het bijzonder Marketing Models aan de Faculteit Bedrijfskunde van de Erasmus Universiteit Rotterdam op 7 maart 2003
The owl trade in Jakarta, Indonesia: a spot check on the largest bird markets

Introduction The bird trade in Indonesia is carried out on a large scale and is considered a threat to numerous species (Shepherd 2006, Metz 2007, Shepherd 2010). The trade, regardless of the species’s legal or conservation status, is carried out openly, on a daily basis and in virtually every major city. Three very significant markets, among the largest in Asia, are located in the country’s capital city, Jakarta. The many species of birds recorded in the trade include several owls. Indonesia is home to 45 species of owls, comprising nine Tytonidae and 36 Strigidae. Among them, scops owls Otus spp. (17 species) are among the most numerous of those traded. However, little is known about many of them and even less about the impact that the trade has on their conservation status (Widodo et al. 1999, Hutchinson et al. 2007). There is no dedicated monitoring or research into the bird trade in Indonesia, but anecdotal information provided to TRAFFIC, the wildlife trade SPECIAL REPORT
Advances in adrenergic receptors for the treatment of chronic obstructive pulmonary disease: 2023 update

ABSTRACT Introduction Strong scientific evidence and large experience support the use of β2-agonists for the symptomatic alleviation of COPD. Therefore, there is considerable effort in discovering highly potent and selective β2-agonists. Areas covered Recent research on novel β2-agonists for the treatment of COPD. A detailed literature search was performed in two major databases (PubMed/MEDLINE and Scopus) up to September 2023. ” Expert opinion Compounds that preferentially activate a Gs- or β-arrestin-mediated signaling pathway via β- adrenoceptors (ARs) are more innovative. Pepducins, which target the intracellular region of β2-AR to modulate receptor signaling output, have the most interesting profile from a pharmacological point of view. They stabilize the conformation of the β2-AR and influence its signaling by interacting with the intracellular receptor-G protein interface. New bifunctional drugs called muscarinic antagonist-β2 agonist (MABA), which have both muscarinic receptor (mAChR) antagonism and β2-agonist activity in the same molecule, are a new opportunity. However, all tested compounds have been shown to act predominantly as mAChR antagonists or β2-agonists. An intriguing idea is to utilize allosteric modulators that bind to β2-ARs at sites different than those bound by orthosteric ligands to augment or reduce the signaling transduced by the orthosteric ligand.
Androgen signaling stabilizes genomes to counteract senescence by promoting XRCC4 transcription

Aging is accompanied by a decreased DNA repair capacity, which might contribute to age‐associated functional decline in multiple tissues. Disruption in hormone signaling, associated with reproductive organ dysfunction, is an early event of age‐related tissue degeneration, but whether it impacts DNA repair in nonreproductive organs remains elusive. Using skin fibroblasts derived from healthy donors with a broad age range, we show here that the downregulation of expression of XRCC4, a factor involved in nonhomologous end‐joining (NHEJ) repair, which is the dominant pathway to repair somatic double‐strand breaks, is mediated through transcriptional mechanisms. We show that the androgen receptor (AR), whose expression is also reduced during aging, directly binds to and enhances the activity of the XRCC4 promoter, facilitating XRCC4 transcription and thus stabilizing the genome. We also demonstrate that dihydrotestosterone (DHT), a powerful AR agonist, restores XRCC4 expression and stabilizes the genome in different models of cellular aging. Moreover, DHT treatment reverses senescence‐associated phenotypes, opening a potential avenue to aging interventions in the future.
The Anthropocene condition: evolving through social–ecological transformations

Anthropogenic planetary disruptions, from climate change to biodiversity loss, are unprecedented challenges for human societies. Some societies, social groups, cultural practices, technologies and institutions are already disintegrating or disappearing as a result. However, this coupling of socially produced environmental challenges with disruptive social changes—the Anthropocene condition—is not new. From food-producing hunter–gatherers, to farmers, to urban industrial food systems, the current planetary entanglement has its roots in millennia of evolving and accumulating sociocultural capabilities for shaping the cultured environments that our societies have always lived in (sociocultural niche construction). When these transformative capabilities to shape environments are coupled with sociocultural adaptations enabling societies to more effectively shape and live in transformed environments, the social–ecological scales and intensities of these transformations can accelerate through a positive feedback loop of ‘runaway sociocultural niche construction’. Efforts to achieve a better future for both people and planet will depend on guiding this runaway evolutionary process towards better outcomes by redirecting Earth's most disruptive force of nature: the power of human aspirations. To guide this unprecedented planetary force, cultural narratives that appeal to human aspirations for a better future will be more effective than narratives of environmental crisis and overstepping natural boundaries. This article is part of the theme issue ‘Evolution and sustainability: gathering the strands for an Anthropocene synthesis’.
Laboratory investigations into the threshold of movement of natural sand‐sized sediments under unidirectional, oscillatory and combined flows

The threshold of movement of sediment obtained from sandbanks within the Bristol Channel (UK) is investigated under unidirectional, oscillatory and combined flows. The experiments were undertaken in a recirculating, unidirectional laboratory flume containing an oscillating plate to simulate wave action, with movement along the same axis as the unidirectional flows. The sand samples consisted of cohesionless quartz grains with median grain sizes between 0·315 and 0·513 mm. The experiments were performed under flow velocities (measured at 2 cm above the bed) ranging between 0 and 24 cm s–1 and oscillatory currents (wave periods of 5, 12 and 15 s) ranging from 0 to 28 cm s–1. The critical conditions for the initiation of sediment movement were assessed, by visual observation, using the Yalin criterion. The results show that, under unidirectional flow, there is a slight overestimation of the threshold of naturally graded sediments derived on the basis of empirically derived threshold curves for artificially prepared sediments under similar flow conditions. In the case of oscillatory flows, the threshold for the natural sands is found to be higher than that predicted by previously derived empirical curves. Under combined flows, wave period is shown to control threshold conditions, with the unidirectional and oscillatory flow components combining in a linear fashion for long‐period (12 s and 15 s) waves. In contrast, in the presence of short‐period (5 s) waves, the unidirectional and oscillatory components of the flow appear to ‘decouple’. For high orbital velocities, in both cases, the effect of the wave period on threshold diminishes.
Multidisciplinary management of a pregnancy complicated by Glanzmann thrombasthenia: A case report

Glanzmann thrombasthenia (GT) is a rare, autosomal recessive disorder of platelet glycoprotein IIb‐IIIa receptors. Pregnant patients with GT are at increased risk of maternal and fetal bleeding. There is a paucity of literature on the peripartum management of patients.
Real-Time Artificial Intelligence–Based Guidance of Echocardiographic Imaging by Novices: Image Quality and Suitability for Diagnostic Interpretation and Quantitative Analysis

BACKGROUND: We aimed to assess in a prospective multicenter study the quality of echocardiographic exams performed by inexperienced users guided by a new artificial intelligence software and evaluate their suitability for diagnostic interpretation of basic cardiac pathology and quantitative analysis of cardiac chamber and function. METHODS: The software (UltraSight, Ltd) was embedded into a handheld imaging device (Lumify; Philips). Six nurses and 3 medical residents, who underwent minimal training, scanned 240 patients (61±16 years; 63% with cardiac pathology) in 10 standard views. All patients were also scanned by expert sonographers using the same device without artificial intelligence guidance. Studies were reviewed by 5 certified echocardiographers blinded to the imager’s identity, who evaluated the ability to assess left and right ventricular size and function, pericardial effusion, valve morphology, and left atrial and inferior vena cava sizes. Finally, apical 4-chamber images of adequate quality, acquired by novices and sonographers in 100 patients, were analyzed to measure left ventricular volumes, ejection fraction, and global longitudinal strain by an expert reader using conventional methodology. Measurements were compared between novices’ and experts’ images. RESULTS: Of the 240 studies acquired by novices, 99.2%, 99.6%, 92.9%, and 100% had sufficient quality to assess left ventricular size and function, right ventricular size, and pericardial effusion, respectively. Valve morphology, right ventricular function, and left atrial and inferior vena cava size were visualized in 67% to 98% exams. Images obtained by novices and sonographers yielded concordant diagnostic interpretation in 83% to 96% studies. Quantitative analysis was feasible in 83% images acquired by novices and resulted in high correlations (r≥0.74) and small biases, compared with those obtained by sonographers. CONCLUSIONS: After minimal training with the real-time guidance software, novice users can acquire images of diagnostic quality approaching that of expert sonographers in most patients. This technology may increase adoption and improve accuracy of point-of-care cardiac ultrasound.
Hybrid Fusion Based Interpretable Multimodal Emotion Recognition with Limited Labelled Data

This paper proposes a multimodal emotion recognition system, VIsual Spoken Textual Additive Net (VISTA Net), to classify emotions reflected by multimodal input containing image, speech, and text into discrete classes. A new interpretability technique, K-Average Additive exPlanation (KAAP), has also been developed that identifies important visual, spoken, and textual features leading to predicting a particular emotion class. The VISTA Net fuses information from image, speech, and text modalities using a hybrid of early and late fusion. It automatically adjusts the weights of their intermediate outputs while computing the weighted average. The KAAP technique computes the contribution of each modality and corresponding features toward predicting a particular emotion class. To mitigate the insufficiency of multimodal emotion datasets labeled with discrete emotion classes, we have constructed a large-scale IIT-R MMEmoRec dataset consisting of images, corresponding speech and text, and emotion labels ('angry,' 'happy,' 'hate,' and 'sad'). The VISTA Net has resulted in 95.99\% emotion recognition accuracy on the IIT-R MMEmoRec dataset on using visual, audio, and textual modalities, outperforming when using any one or two modalities.