Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating social value through entrepreneurship: the social business model of La Paranza

Purpose The purpose of this paper is to identify the key factors for successful creation of social value using the social business model (SBM) as an explanatory framework. Design/methodology/approach This study follows the Krippendorff and Gioia’s methodology seeking the rigor while examining the selected case study – a social cooperative named La Paranza, in the city of Naples in the south of Italy. In doing so, the SBM canvas is used to present the research’s results in a systematic way. Findings The existence of a strong “identity” with the local context, the “enthusiasm and the wish to change things”, the presence of a “visionary”, acting as an orchestrator and the ability to provide for responses to the local needs were identified as key factors in the successful creation of social value in the examined case. Research limitations/implications The main research limits stem from the single case study methodology approach, which embodies the researchers’ subjectivity. A comparative study based on the collection of multiple successful case studies is therefore suggested to develop a generalization of the key drivers underlying the process of social value creation. Originality/value The study’s originality results from its use of the SBM framework in presenting a successful example of social value creation. The examined empirical evidence is also original in itself, mainly because of its inner uniqueness as a new and innovative formula: this allows an in-depth investigation and the inspiration for new ideas in the ground of SBM and, in a broader sense, in the field of social innovation and social value creation.
GENETIC VARIABILITY AND POPULATION STRUCTURE OF GREY WOLF (Canis lupus) FROM BOSNIA&HERZEGOVINA

Previous analysis of mtDNA control region (CR) sequence variability for grey wolf population from BosniaH He=0.76), similar to other populations belonging to the grey wolf Dinaric-Balkan population. STRUCTURE analysis showed differentiation into two genetic clusters. These results are important for future management plans and estimation of the conservation units.
Chirurgie des métastases hépatiques

La chirurgie des métastases hépatiques a une place bien établie, surtout dans le traitement des métastases du carcinome colorectal, raison pour laquelle ce sujet est discuté en détail. Les métastases hépatiques du carcinome colorectal surviennent dans 20–30% des cas. En Suisse, nous comptons 4000 nouveaux cas de maladie par an, ce qui fait qu’il faut s’attendre à avoir 800–1200 nouveaux patients porteurs de métastases hépatiques d’un carcinome colorectal. En fonction du système de drainage veineux porte, la métastatisation hématogène se fait d’abord dans le foie, sauf pour le carcinome rectal bas situé, qui envoie ses métastases aussi dans le poumon. Dans le carcinome colorectal à un stade avancé, la moitié des patients a une métastase hépatique isolée. Pour les patients ayant des métastases hépatiques, la chirurgie est actuellement la seule possibilité de guérison. La survie moyenne avec métastases hépatiques sans traitement est de 12–18 mois, et elle peut être prolongée de 6–12 mois environ par la chimiothérapie systémique. Seule la chirurgie permet d’obtenir une survie à 5 ans de 20–40% (tableaux 2 et 3). Grâce aux progrès de la médecine intensive et des techniques chirurgicales, la morbidité a pu être abaissée en dessous de 25% et la létalité en dessous de 5%. Mais il est indispensable de bien poser l’indication à la résection, et de ne pas hospitaliser inutilement les patients pour leur voler ce qu’il leur reste à vivre, quantitativement et qualitativement.
The find of six species new to Belgium highlights the role of the stone trade as a pathway for non-native land snails (Gastropoda: Stylommatophora

Surveys in stone yards in Wallonia (southern Belgium) led to the find of six taxa of land snails being new to Belgium and one being new to Wallonia. The new taxa can be divided into two groups: living animals of the European species Charpentieria itala, Laciniaria plicata, Chilostoma cingulatum, and Theba pisana, and shells with remains of the dead animals in the case of the Asian taxa Cathaica fasciola, Acusta sp. , and Bradybaena jourdyi. The latter are widespread in their respective Asian native range while Acusta sp. and B. jourdyi had never been reported from Europe. We discuss the role of stone yards as hubs for the dispersion of land snails. The individuals of the newly observed taxa may have arrived in several waves (with successive arrivals of stones) and may not reproduce in the stone yard. We explore the risks of settling. In this study, we provide evidence that the doorsnails C. itala and L. plicata have already settled elsewhere in Wallonia. Theba pisana, C. fasciola and Acusta sp. have the potential to behave as invasive
Genetically Engineered Probiotic Limosilactobacillus reuteri Releasing IL-22 (LR-IL-22) Modifies the Tumor Microenvironment, Enabling Irradiation in Ovarian Cancer

Simple Summary Ovarian cancer is the most lethal gynecological cancer worldwide, and there is an urgent need for a cure. Previously, we established that a second-generation probiotic expressing interleukin-22 (LR-IL-22) is a radiation mitigator, and now, we have assessed its effect in an ovarian cancer mouse model. LR-IL-22 treatment improved survival, upregulated PD-L1 protein expression on cancer cells, and recruited CD8+ T cells to tumors in whole-abdomen irradiated (WAI) mice. The addition of LR-IL-22 to a therapy regimen that includes WAI, chemotherapy, and immunotherapy can facilitate a safe and effective protocol to reduce tumor burden, increase overall survival, and improve the quality of life of an ovarian cancer patient. Abstract Despite recent advances in cancer therapy, ovarian cancer remains the most lethal gynecological cancer worldwide, making it crucial and of the utmost importance to establish novel therapeutic strategies. Adjuvant radiotherapy has been assessed historically, but its use was limited by intestinal toxicity. We recently established the role of Limosilactobacillus reuteri in releasing IL-22 (LR-IL-22) as an effective radiation mitigator, and we have now assessed its effect in an ovarian cancer mouse model. We hypothesized that an LR-IL-22 gavage would enable intestinal radioprotection by modifying the tumor microenvironment and, subsequently, improving overall survival in female C57BL/6MUC-1 mice with widespread abdominal syngeneic 2F8cis ovarian cancer. Herein, we report that the LR-IL-22 gavage not only improved overall survival in mice when combined with a PD-L1 inhibitor by inducing differential gene expression in irradiated stem cells but also induced PD-L1 protein expression in ovarian cancer cells and mobilized CD8+ T cells in whole abdomen irradiated mice. The addition of LR-IL-22 to a combined treatment modality with fractionated whole abdomen radiation (WAI) and systemic chemotherapy and immunotherapy regimens can facilitate a safe and effective protocol to reduce tumor burden, increase survival, and improve the quality of life of a locally advanced ovarian cancer patient.
The Influence Of Financial Literacy On Financial Management Behavior In Indonesian Parahikma Institute Students

Financial literacy has become an important skill required in everyday life. Due to the instability of the global economy, consumers face financial decisions that have become more complex due to increasing product variety and financial challenges. Therefore, the importance of financial management skills in personal life has increased and more and more research has explored this issue in the last decade. This positive attitude will help them to practice good personal financial management as working adults. The research method used by researchers is a quantitative research method using a quantitative approach. The form of research used is correlation research in the form of causal relationship regression. The research was carried out at the Indonesian Parahikma Institute of Higher Education, specifically the Islamic Education Management Study Program, with a population of 60 students from the Islamic Education management study program. Of the 60 selected students, 60 were used as research samples. The researcher's sampling technique used saturated samples. The data collection tools used were test questions and questionnaire sheets by distributing questionnaires online via Google Form, and then tabulating using the SPSS computer program. Meanwhile, the data analysis technique used in this research starts from testing the instrument by testing the Validity and Reliability of the Questionnaire using the Product Moment and Spearman Brown tests. In accordance with the results of the research that has been conducted, it was found that financial literacy has a significant effect on financial management behavior among Parahikma Indonesia Institute students.
Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine Learning

Powdery mildew is one of the most significant rubber tree diseases, with a substantial impact on the yield of natural rubber. This study aims to establish a detection approach that coupled continuous wavelet transform (CWT) and machine learning for the accurate assessment of powdery mildew severity in rubber trees. In this study, hyperspectral reflectance data (350–2500 nm) of healthy and powdery mildew-infected leaves were measured with a spectroradiometer in a laboratory. Subsequently, three types of wavelet features (WFs) were extracted using CWT. They were as follows: WFs dimensionally reduced by the principal component analysis (PCA) of significant wavelet energy coefficients (PCA-WFs); WFs extracted from the top 1% of the determination coefficient between wavelet energy coefficients and the powdery mildew disease class (1%R2-WFs); and all WFs at a single decomposition scale (SS-WFs). To assess the detection capability of the WFs, the three types of WFs were input into the random forest (RF), support vector machine (SVM), and back propagation neural network (BPNN), respectively. As a control, 13 optimal traditional spectral features (SFs) were extracted and combined with the same classification methods. The results revealed that the WF-based models all performed well and outperformed those based on SFs. The models constructed based on PCA-WFs had a higher accuracy and more stable performance than other models. The model combined PCA-WFs with RF exhibited the optimal performance among all models, with an overall accuracy (OA) of 92.0% and a kappa coefficient of 0.90. This study demonstrates the feasibility of combining CWT with machine learning in rubber tree powdery mildew detection.
The acute alerting effects of light during daytime

In this thesis the acute alerting effects of light have been investigated during daytime. In literature, a large amount of research has been conducted towards the acute alerting effects of light. However, often these studies are performed during nighttime, when stronger effects are already expected. Additionally, most of these experiments either use a limited amount of light levels (often only two or three) or have highly controlled conditions. Therefore, in this thesis, the acute alerting effects of light intensity on alertness and arousal are investigated during daytime, employing a large range of illuminance levels (20-2000 lux). One of the main objectives is to investigate if it is possible to create a dose-response curve for daytime light exposure, similar to the dose-response curve for nighttime. A realistic setting was created, where participants come in during daytime. The results showed no significant main effects or interaction effects for the effect light on subjective and objective indicators of alertness. The results suggest that the dose-response curve for nighttime can’t simply be translated one-to-one to for daytime situations and it might be necessary to use personally tuned lighting systems. Future studies are necessary to learn more about the non-image forming effects of light, and how these could eventually contribute to intelligent lighting systems for example in offices and schools.
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image

Fully characterizing the spatial-spectral priors of hyperspectral images (HSIs) is crucial for HSI denoising tasks. Recently, HSI denoising models based on representative coefficient images (RCIs) under the spectral low-rank decomposition framework have garnered significant attention due to their clever utilization of spatial-spectral information in HSI at a low cost. However, current methods either employ handcrafted classical denoisers or off-the-shelf deep denoisers to denoise RCIs, failing to fully capture the structural information of RCIs. In this article, we propose a specific optimization framework for learning an RCI denoiser under the low-rank decomposition framework for the first time. Since low-rank decomposition can characterize the global low-rank property of HSI, our RCI denoiser only needs to learn the spatial prior of RCIs. Consequently, our optimization framework is inclined to learn a more powerful RCI denoiser. However, learning an RCI denoiser is not an easy task, primarily due to the lack of paired clean-noisy RCI data. To address this issue, we employ parametric techniques to represent the to- be-restored HSI as a function of RCI denoiser network parameters. In this way, the parameters of the RCI denoiser can thus be updated using noisy-clean HSI pairs. Furthermore, we adopt residual learning and Gaussian whitening (GW) techniques to enhance the RCI denoiser’s denoising ability for HSIs with various noise levels and different rank settings. Extensive experiments demonstrate that our method can achieve significant improvements in both denoising effectiveness and speed compared to state-of-the-art methods. The code of our algorithm is released at https://github.com/andrew-pengjj/RCILD.git.
Impact of Irrigation over the California Central Valley on Regional Climate

AbstractIrrigation, while being an important anthropogenic factor affecting the local to regional water cycle, is not typically represented in regional climate models. An irrigation scheme is incorporated into the Noah land surface scheme of the Weather Research and Forecasting (WRF) Model that has a calibrated convective parameterization and a tracer package is used to tag and track water vapor. To assess the impact of irrigation over the California Central Valley (CCV) on the regional climate of the U.S. Southwest, simulations are run (for three dry and three wet years) both with and without the irrigation scheme. Incorporation of the irrigation scheme resulted in simulated surface air temperature and humidity that were closer to observations, decreased depth of the planetary boundary layer over the CCV, and increased convective available potential energy. The result was an overall increase in precipitation over the Sierra Nevada range and the Colorado River basin during the summer. Water vapor rising f.
Metamaterial‐inspired dual‐band frequency‐reconfigurable antenna with pattern diversity

Multi-functional antennas are very important in modern wireless communication systems. A novel dual-band frequency-reconfigurable antenna with pattern diversity is designed. The antenna consists of a composite right/left-handed transmission line inspired structure, which works at the zeroth-order mode (0) around 2.5 GHz and at the first-order mode (1) around 3.5 GHz. The 0 mode results in an omni-directional pattern and the 1 mode results in a broadside pattern. By adding varactors to continuously reconfigure the structure, the antenna is able to tune its lower resonant frequency from 2.36 to 2.60 GHz, which fully covers the 2.4-2.5 GHz ISM band, and tune its higher resonant frequency from 3.34 to 3.73 GHz, which fully covers the 3.4-3.7 GHz WiMAX band. Simulations and experiments match well, proving the validity of this new concept.
Morphometric analysis of Early Permian fusulinids from east‐central Iran: a new approach to defining fusulinid species reliably

Fusulinid fauna from the late Sakmarian–early Artinskian Khan Formation in the Kalmard area, east‐central Iran, was studied using morphometric techniques to test the reliability of previous taxonomic descriptions. Fusulinids in the Kalmard area have been previously grouped into three genera (Eoparafusulina, Perigondwania, and Neodutkevitchia) and ‘20 species’. Results of ordination analyses (PCA and RDA) reveal that the genera are readily distinguished, whereas only a few species previously defined within the genera Eoparafusulina and Perigondwania are recognizable. This suggests that the taxonomic descriptions and measurements for different structural elements for some of these fusulinid species are not sufficient to justify erecting separate taxonomic names. Since fusulinids are really important fauna for biostratigraphic and palaeobiogeographic interpretation in the late Palaeozic, defining species based on quantitative analysis of their morphological structures should be more accurate and improve the quality of regional correlations. Copyright © 2016 John Wiley & Sons, Ltd.
Human movement modifications induced by different levels of transparency of an active upper limb exoskeleton

Active upper limb exoskeletons are a potentially powerful tool for neuromotor rehabilitation. This potential depends on several basic control modes, one of them being transparency. In this control mode, the exoskeleton must follow the human movement without altering it, which theoretically implies null interaction efforts. Reaching high, albeit imperfect, levels of transparency requires both an adequate control method and an in-depth evaluation of the impacts of the exoskeleton on human movement. The present paper introduces such an evaluation for three different “transparent” controllers either based on an identification of the dynamics of the exoskeleton, or on force feedback control or on their combination. Therefore, these controllers are likely to induce clearly different levels of transparency by design. The conducted investigations could allow to better understand how humans adapt to transparent controllers, which are necessarily imperfect. A group of fourteen participants were subjected to these three controllers while performing reaching movements in a parasagittal plane. The subsequent analyses were conducted in terms of interaction efforts, kinematics, electromyographic signals and ergonomic feedback questionnaires. Results showed that, when subjected to less performing transparent controllers, participants strategies tended to induce relatively high interaction efforts, with higher muscle activity, which resulted in a small sensitivity of kinematic metrics. In other words, very different residual interaction efforts do not necessarily induce very different movement kinematics. Such a behavior could be explained by a natural human tendency to expend effort to preserve their preferred kinematics, which should be taken into account in future transparent controllers evaluation.
Impact of Vascular Access Flow Suppression Surgery on Cervical Artery Circulation: A Retrospective Observational Study

Vascular access (VA) flow suppression surgery augments VA flow resistance and can increase other circulation flows hindered by high-flow VA. However, whether VA flow suppression surgery affects cervical circulation has rarely been reported. We aimed to determine the effect of VA flow suppression surgery on the cervical circulation in patients with high-flow VA. This single-center, retrospective, observational study included 85 hemodialysis patients who underwent VA flow suppression surgery at the Kanno Dialysis and Access Clinic between 2009 and 2018. Blood flow in the VA, bilateral vertebral arteries, and common carotid artery was measured before and after VA flow suppression surgery. The VA flow decreased from 1548 mL/min to 693 mL/min postoperatively. The flow of the vertebral artery on the VA side increased from 55 mL/min to 81 mL/min. The flow in the bilateral common carotid arteries also increased. Patients whose symptoms improved postoperatively showed better improvement in the vertebral artery on the VA side. VA flow suppression surgery in patients with high-flow VA increases the flow of the vertebral artery on the VA side and of the bilateral common carotid arteries. High-flow VA can hinder the vertebral and common carotid circulation.
The application of impantable sensors in the musculoskeletal system: a review

As the population ages and the incidence of traumatic events rises, there is a growing trend toward the implantation of devices to replace damaged or degenerated tissues in the body. In orthopedic applications, some implants are equipped with sensors to measure internal data and monitor the status of the implant. In recent years, several multi-functional implants have been developed that the clinician can externally control using a smart device. Experts anticipate that these versatile implants could pave the way for the next-generation of technological advancements. This paper provides an introduction to implantable sensors and is structured into three parts. The first section categorizes existing implantable sensors based on their working principles and provides detailed illustrations with examples. The second section introduces the most common materials used in implantable sensors, divided into rigid and flexible materials according to their properties. The third section is the focal point of this article, with implantable orthopedic sensors being classified as joint, spine, or fracture, based on different practical scenarios. The aim of this review is to introduce various implantable orthopedic sensors, compare their different characteristics, and outline the future direction of their development and application.
Current Understanding of Human Polymorphism in Selenoprotein Genes: A Review of Its Significance as a Risk Biomarker

Selenium has been proven to influence several biological functions, showing to be an essential micronutrient. The functional studies demonstrated the benefits of a balanced selenium diet and how its deficiency is associated with diverse diseases, especially cancer and viral diseases. Selenium is an antioxidant, protecting the cells from damage, enhancing the immune system response, preventing cardiovascular diseases, and decreasing inflammation. Selenium can be found in its inorganic and organic forms, and its main form in the cells is the selenocysteine incorporated into selenoproteins. Twenty-five selenoproteins are currently known in the human genome: glutathione peroxidases, iodothyronine deiodinases, thioredoxin reductases, selenophosphate synthetase, and other selenoproteins. These proteins lead to the transport of selenium in the tissues, protect against oxidative damage, contribute to the stress of the endoplasmic reticulum, and control inflammation. Due to these functions, there has been growing interest in the influence of polymorphisms in selenoproteins in the last two decades. Selenoproteins’ gene polymorphisms may influence protein structure and selenium concentration in plasma and its absorption and even impact the development and progression of certain diseases. This review aims to elucidate the role of selenoproteins and understand how their gene polymorphisms can influence the balance of physiological conditions. In this polymorphism review, we focused on the PubMed database, with only articles published in English between 2003 and 2023. The keywords used were “selenoprotein” and “polymorphism”. Articles that did not approach the theme subject were excluded. Selenium and selenoproteins still have a long way to go in molecular studies, and several works demonstrated the importance of their polymorphisms as a risk biomarker for some diseases, especially cardiovascular and thyroid diseases, diabetes, and cancer.