Miracle-dz/UniFAR-FTUs huggingface dataset:
Amino Acid-Coated Zeolitic Imidazolate Framework for Delivery of Genetic Material in Prostate Cancer Cell

Metal–organic frameworks (MOFs) are currently under progressive development as a tool for non-viral biomolecule delivery. Biomolecules such as proteins, lipids, carbohydrates, and nucleic acids can be encapsulated in MOFs for therapeutic purposes. The favorable physicochemical properties of MOFs make them an attractive choice for delivering a wide range of biomolecules including nucleic acids. Herein, a green fluorescence protein (GFP)-expressing plasmid DNA (pDNA) is used as a representative of a biomolecule to encapsulate within a Zn-based metal–organic framework (MOF) called a zeolitic imidazolate framework (ZIF). The synthesized biocomposites are coated with positively charged amino acids (AA) to understand the effect of surface functionalization on the delivery of pDNA to prostate cancer (PC-3) cells. FTIR and zeta potential confirm the successful preparation of positively charged amino acid-functionalized derivatives of pDNA@ZIF (i.e., pDNA@ZIFAA). Moreover, XRD and SEM data show that the functionalized derivates retain the pristine crystallinity and morphology of pDNA@ZIF. The coated biocomposites provide enhanced uptake of genetic material by PC-3 human prostate cancer cells. The AA-modulated fine-tuning of the surface charge of biocomposites results in better interaction with the cell membrane and enhances cellular uptake. These results suggest that pDNA@ZIFAA can be a promising alternative tool for non-viral gene delivery.
What Does the Feeling of Job Success Depend On? Influence of Personal and Organizational Factors

The main objective of this study was to determine the influence that various personal and organizational factors have on the self-assessed performance of 1459 employees recruited through a convenience sampling technique. The self-assessed performance was used as indicator of the feelings of job success. A non-experimental correlational cross-sectional design was established. Measures of the sociodemographic characteristics of the participants (such as age, gender, marital status, and personality), structural features of the organization (such as national vs. international, number of employees, or professional sector), and psychosocial aspect of the jobs (such as workload or burnout) were collected via a Google Form Questionnaire. Data were explored using multiple stepwise regression. Results showed conscientiousness as the most important predictor of perceived job success, followed by performance demands and personal accomplishment. Age, extraversion, and having a permanent contract were also related to better perceived success. The main conclusion is that perceived success is greater in the conscientious, extroverted, older participants, with a stable employment contract who have a job with high responsibility, and that provides them with greater feelings of personal fulfillment. The practical implications as well as the strength and limitations of the study are described.
The Biology of Chronic Pain and Its Implications for Pain Neuroscience Education: State of the Art

Pain is an individualized experience for the person suffering from chronic pain. Significant strides have been made in the last few decades in understanding various biological changes that coincide with chronic pain. This state-of-the-art overview looks at the current evidence related to the biology of chronic pain and the implications these findings have on the delivery of pain neuroscience education (PNE). The paper summarizes the various (epi)genetic, neural, endocrine, and immune factors discovered and explored in the scientific literature concerning chronic pain. Each of these biological factors has various implications for the content and delivery of PNE. We discuss the future directions these biological factors have for the clinical implementation of PNE by linking the importance of behavior change, optimizing the learning environment, and using an individualized multimodal treatment approach with PNE. In addition, future directions for research of PNE based on these biological factors are provided with importance placed on individualized patient-centered care and how PNE can be used with traditional modes of care and growing trends with other care methods. PNE was originally and continues to be rooted in understanding chronic pain biology and how that understanding can improve patient care and outcomes.
Combination of Graphene Oxide and Rhizobium Improved Soybean Tolerance in Saline-Alkali Stress

Soybean (Glycine max L.) is the most important crop plant in the world. Soil saline-alkali seriously inhibits soybean yield and quality. This study aims to investigate the impact of graphene oxide (GO) and Rhizobium (Rh) on the expression of soybean-related genes as well as the growth and yield under saline-alkali stress. The results show that GO + Rh-treated increased the number of root nodules by 5.43 times compared with the control (Ctrl), the total nitrogen content and root system parameters of plants were also significantly improved. GO + Rh-treated reduced the Na+/K+ ratio and the osmotic substances, while the activities of antioxidant enzymes SOD, POD, CAT and APX in GO + Rh-treated soybean plants increased significantly by 69.18%, 69%, 75.64% and 48.38% compared with the control plants. The REC, MDA and H2O2 content decreased significantly by 46.73%, 42.80% and 43.53%. In addition, GA3 content, among all related saline-alkali hormones, was increased by 100.20% compared with the Ctrl. The expression level of GmGBP1, a key gene for GA3 synthesis, at most increased 6.42 times compared to the Ctrl. The results further reveal that GO + Rh-treated obviously improves the yield traits of soybean plants, which confirms that GO + Rh-treated could be effective in enhancing soybean tolerance to saline-alkali stress. Our findings provide a new strategy for improving the saline-alkali tolerance of soybean, as well as a new perspective for exploiting and utilizing large-area saline-alkali soil.
Effective Modeling on Learning Ballet Online

After COVID-19, face-to-face learning was changed to online learning. However, very few effective online learning methods were available regarding physical education. Therefore, this study aimed to examine the modeling effects on learning ballet movement in the online system. We aimed to find effective modeling presentations based on objective information, expert assessments, and a kinematic approach. The study included 36 individuals who were divided into an expert modeling group, a self-modeling group, and controls. Participants performed 60 trials of Pas de basque in the acquisition phase and 10 trials without a demonstration video after 24 h. 10 min later, the reversed Pas de basque was conducted for the retention test. All groups showed improved performance after the acquisition phase, which indicated that the modeling presentation was effective despite adopting an online learning system. However, higher expert scores and more accurate joint movements were shown in the expert modeling group compared to the other groups. Therefore, expert modeling seems to be the most effective method for learning high-difficulty tasks with jumps and turns.
Response of New Yellow Lupin Varieties to Inoculation with Bradyrhizobium sp. Lupinus under Central European Conditions

The aim of a two-factorial field experiment was to determine how the inoculation of seeds/soil with preparations of Bradyrhizobium sp. Lupinus (Nitragina—seed inoculation, Nitroflora I—seed inoculation, Nitroflora II—soil inoculation, HiStick® Lupin—seed inoculation) affected plant development, seed chemical composition and yield of two yellow lupin varieties (Bursztyn, Puma). This experiment was carried out with four replications in 2018 and 2019 in Poland. Precipitation during both vegetation periods was similar to or lower than the long-term mean. Average seed yield of Puma was significantly greater than Bursztyn (by 0.22 t ha−1). According to the correlation coefficients, seed yield was mainly related to plant height, dry mass of nodules per plant and mass of 1000 seeds. Our results suggest that legumes, such as lupin, should always be inoculated with Bradyrhizobium, especially if they are cultivated for the first time in a field. For optimal results, the highest-quality preparations should be used. In our study, the best results were observed after HiStick® Lupin inoculation, which resulted in the highest protein content, seed yield and protein yield across all treatments.
Histological Approach to the Study of Morphogenesis in Callus Cultures In Vitro: A Review

The use of in vitro callus cultures as experimental model systems allows us to get closer to understanding the patterns and features of morphogenesis in intact plants. In this regard, the problem of realizing the morphogenetic potential of callus cells due to their pluri- and totipotency properties is of great interest. To solve this problem, it is important to use the histological approach, which involves studying the structures of developing tissues, organs and organisms in their interactions and relationships. This review article analyzes data devoted to the study of the histological features of formed primary morphogenic calli (formation of morphogenetic centers and superficial meristematic zones), as well as the in vitro morphogenesis pathways in calli that lead to the formation of regenerants (de novo organogenesis and in vitro somatic embryogenesis). The terminology used is considered. Some questions for discussion are raised. The opinion is expressed that histological (structural) studies should be considered as a methodologic basis for further investigation of various morphogenetic scenarios in in vitro callus cultures, especially in economically valuable plants and for biotechnological purposes.
Growth and Characterization of Centimeter-Scale Pentacene Crystals for Optoelectronic Devices

In this work, we present results on the growth of centimeter-scale pentacene crystals using the physical vapor transport method in a dual-temperature zone horizontal furnace. It was established that intensive crystal growth processes occurred in transition regions with sudden temperature changes, while crystal growth was practically not observed in regions with slightly varying temperatures. During crystal growth, co-precipitating golden needle-like crystals reaching lengths of more than 10 mm were obtained. Using the method of single-crystal X-ray diffraction at 85 and 293 K for dark-blue lamellar pentacene crystals, the crystal structure was refined in a triclinic system with sp.gr. P1¯. It was established that the golden needle crystals consisted of molecules of the pentacene derivative—5,14-pentacenedione, the crystal structure of which was solved for the first time in a rhombic system with sp.gr. P212121. The absorption and luminescence spectra of pentacene and 5,14-pentacenedione in toluene solutions were obtained and analyzed. The electrical properties of the prepared pentacene thin films and single crystals grown under physical vapor transport conditions were evaluated by fabricating and characterizing field-effect transistors (FETs). It was shown that the presence of impurities in the commercial pentacene material had a significant effect on the morphological quality of thin polycrystalline films and noticeably reduced the hole mobility.
Fuel Consumption Prediction and Optimization Model for Pure Car/Truck Transport Ships

Predicting and optimizing ship fuel use is a crucial technology for lowering greenhouse gas emissions. Unfortunately, existing research is rarely capable of developing fuel consumption forecasts and optimization models for a particular transport system. This study develops a fuel consumption prediction model based on machine learning and a fuel consumption optimization model based on particle swarm optimization for ships. We studied nearly ten years of big data from a large Korean pure car and truck shipping company (PCTC), which contained 16,189 observations from 2012 to 2021. Results indicate that the XGBoost deep learning model outperforms conventional prediction models at the stage of fuel consumption prediction, with an R2 of 0.97. Furthermore, in the fuel consumption optimization stage, the particle swarm optimization method can effectively reduce fuel consumption. This study helps PCTC companies control shipping costs and save energy. Insights for shipping businesses to meet environmental demands are provided as well.
Supplementary material for “Does filling-dependent band renormalization aid pairing in twisted bilayer graphene?”

Cyprian Lewandowski, 2, ∗ Stevan Nadj-Perge, 3 and Debanjan Chowdhury † Department of Physics, California Institute of Technology, Pasadena CA 91125, USA Institute for Quantum Information and Matter, California Institute of Technology, Pasadena CA 91125, USA T. J. Watson Laboratory of Applied Physics, California Institute of Technology, 1200 East California Boulevard, Pasadena CA 91125, USA Department of Physics, Cornell University, Ithaca NY 14853, USA
Impact of Next-Generation Sequencing in Diagnosis, Prognosis and Therapeutic Management of Acute Myeloid Leukemia/Myelodysplastic Neoplasms

Simple Summary Cytological approaches have long been used in the diagnosis, prognosis, and management of acute myeloid leukemia (AML) and myelodysplastic neoplasms. Technological advances in molecular biology, in particular next-generation sequencing (NGS), have made it possible to establish a molecular list of several gene mutations in AML and MDS, within a matter of days. The combination of cytological approaches and NGS makes it possible to pinpoint genetic mutations and cancer cell survival and proliferation pathways, enabling better clinical management and improved prognosis of patients with acute leukemia and myelodysplastic neoplasms. Abstract For decades, the diagnosis, prognosis and thus, the treatment of acute myeloblastic leukemias and myelodysplastic neoplasms has been mainly based on morphological aspects, as evidenced by the French-American-British classification. The morphological aspects correspond quite well, in a certain number of particular cases, to particular evolutionary properties, such as acute myelomonoblastic leukemias with eosinophils or acute promyelocytic leukemias. Advances in biology, particularly “classical” cytogenetics (karyotype) and molecular cytogenetics (in situ hybridization), have made it possible to associate certain morphological features with particular molecular abnormalities, such as the pericentric inversion of chromosome 16 and translocation t(15;17) in the two preceding examples. Polymerase chain reaction techniques have made it possible to go further in these analyses by associating these karyotype abnormalities with their molecular causes, CBFbeta fusion with MYH11 and PML-RAR fusion in the previous cases. In these two examples, the molecular abnormality allows us to better define the pathophysiology of leukemia, to adapt certain treatments (all-transretinoic acid, for example), and to follow up the residual disease of strong prognostic value beyond the simple threshold of less than 5% of marrow blasts, signaling the complete remission. However, the new sequencing techniques of the next generation open up broader perspectives by being able to analyze several dozens of molecular abnormalities, improving all levels of management, from diagnosis to prognosis and treatment, even if it means that morphological aspects are increasingly relegated to the background.
Life after Ayahuasca: A Qualitative Analysis of the Psychedelic Integration Experiences of 1630 Ayahuasca Drinkers from a Global Survey

Ayahuasca is an Amazonian psychoactive plant medicine being explored for its potential therapeutic uses in Western contexts. Preliminary studies link ayahuasca use with improvements across a range of mental health indicators, but studies have not yet explored qualitative aspects of the post-treatment process known in the psychedelic literature as “integration”. This includes how participants make sense of their ayahuasca experiences and minimise harm/maximise benefits after ayahuasca use. A global online survey, conducted between 2017 and 2019, collected responses from 1630 ayahuasca drinkers (50.4% male, mean age = 43 years) to an open-ended question about their integration experiences after consuming ayahuasca. Inductive codebook thematic analysis was used to identify themes in participants’ integration experiences. Participants described integration experiences in three main ways. First, was an overall appraisal of the integration experience (e.g., as easy, challenging, or long-term/ongoing). Second, was describing beneficial tools which facilitated integration (e.g., connecting with a like-minded community and ongoing practice of yoga, meditation, journaling, etc.). Third, was describing integration challenges (e.g., feeling disconnected, going back to “old life” with new understandings, etc.). These findings suggest that integrating ayahuasca experiences can be challenging and take considerable time, though working through integration challenges may facilitate positive growth. Findings also challenge the role of individual psychotherapy as the primary integration tool in Western psychedelic therapy, suggesting that communal and somatic elements may also be useful. An expanded definition of psychedelic integration is proposed which includes working with integration challenges and adjusting to life changes.
Sparsity-enforcing regularisation and ISTA revisited

About two decades ago, the concept of sparsity emerged in different disciplines such as statistics, imaging, signal processing and inverse problems, and proved to be useful for several applications. Sparsity-enforcing constraints or penalties were then shown to provide a viable alternative to the usual quadratic ones for the regularisation of ill-posed problems. To compute the corresponding regularised solutions, a simple, iterative and provably convergent algorithm was proposed and later on referred to as the iterative soft-thresholding algorithm. This paper provides a brief review of these early results as well as that of the subsequent literature, albeit from the authors’ limited perspective. It also presents the previously unpublished proof of an extension of the original framework.
Measurement of Thickness at the Inferior Border of the Mandible Using Computed Tomography Images: A Retrospective Study including 300 Japanese Cases

Vascularised fibular free flaps are integral to reconstructive surgery for head and neck tumours. We investigated the morphological characteristics of the mandible to improve the incidence of plate-related complications after surgery. Using standard radiological software, thickness measurements of the inferior or posterior margin of the mandible were obtained from computed tomography images of 300 patients at seven sites: (1) mandibular symphysis, (2) midpoint between the mandibular symphysis and mental foramen, (3) mental foramen, (4) midpoint between the mental foramen and antegonial notch, (5) antegonial notch, (6) mandibular angular apex (gonion), and (7) neck lateral border of the dentate cartilage. Relationships between age, sex, height, weight, the number of remaining teeth in the mandible, and the thickness of each mandible were also investigated. Measurement point 1 had the largest median mandibular thickness (11.2 mm), and measurement point 6 had the smallest (5.4 mm). Females had thinner measurements than males at all points, with significant differences at points 1, 2, 3, 4, and 7 (p < 0.001). Age and number of remaining teeth in the mandible did not correlate with mandibular thickness; however, height and weight correlated at all points except point 6. Thickness measurements obtained at the sites provide a practical reference for mandibular reconstruction. Choosing the fixation method based on the measured thickness of the mandible at each site allows for sound plating.
Update on Molecular Diagnostics in Thyroid Pathology: A Review

Thyroid nodules are quite common, and the determination of a nodule of concern is complex, involving serum testing, radiology and, in some cases, pathological evaluation. For those nodules that raise clinical concern of neoplasia, fine needle aspiration biopsy is the gold standard for evaluation; however, in up to 30% of cases, results are indeterminate for malignancy, and further testing is needed. Advances in molecular testing have shown it to be of benefit for both diagnostic and prognostic purposes, and its use has become an integral part of thyroid cancer management in the United States and in several global nations. After The Cancer Genome Atlas (TCGA) consortium published its molecular landscape of papillary thyroid carcinoma (PTC) and reduced the “black matter” in PTC from 25% to 3.5%, further work ensued to clarify the remaining fraction not neatly attributed to the BRAFV600E-like or RAS-like phenotypes of the TCGA. Over the past decade, commercial molecular platforms have been refined as data accrues, and they increasingly cover most genetic variants of thyroid carcinomas. Molecular reporting focuses on the nodule tested, including related clinical information for that nodule (size of nodule, Bethesda category, etc.). This results in a comprehensive report to physicians that may also include patient-directed, clear language that facilitates conversations about nodule management. In cases of advanced or recurrent disease, molecular testing may become essential for devising an individual therapeutic plan. In this review, we focus on the evolution of integrated molecular testing in thyroid nodules, and how our understanding of tumor genetics, combined with histopathology, is driving the next generation of rational patient management, particularly in the context of emerging small, targetable therapeutics.
Work–Life Balance and Work from Home Experience: Perceived Organizational Support and Resilience of European Workers during COVID-19

During the COVID-19 pandemic, most workers had to work from home due to the successive lockdowns across European countries. This constraint posed significant challenges to many workers and companies regarding working conditions and work–life balance. Framed by the job demands–resources model (JD–R), the goal of this paper is to examine the association of perceived organizational support (POS) and individual resilience (IR) with work–life balance (WLB) during the COVID-19 pandemic across European countries. This goal is complemented by assessing the role of work-from-home (WFH) as a mediator. Based on a quantitative approach, data were extracted from the second round of the survey “Living, Working, and COVID-19” from Eurofound. A series of regressions using SEM-PLS tested the hypothesis. Findings reveal that WFH negatively influences WLB. POS positively influences WFH and negatively influences WLB when mediated by WFH. IR negatively influences WFH and positively influences WLB when mediated by WFH. These results have essential theoretical implications related to the relations between individual and organizational resources and WLB and practical implications for the management of WFH, namely, the importance of providing adequate organizational resources and promoting the development of individual resources.