Miracle-dz/UniFAR-FTUs huggingface dataset:
The pink esthetic score following immediate implant placement with immediate provisionalization versus CAD/CAM provisionalization in the maxillary aesthetic

The objective of the Study: Evaluation of the soft-tissue profile around the implant in the aesthetic zone of the anterior maxilla utilizing the PES after immediate implant placement with immediate provisionalization versus CAD/CAM provisionalizantion. Methodology: A total of 22 patients were randomly selected from the dental implant clinic. Eleven patients for the study group received CAD/CAM immediate temporization and eleven patients for the control group received chairside immediate temporization in the maxillary aesthetic zone. Results: In each group, there was a statistically significant increase in PES by time (P-value = 0.001). The mean pink aesthetic score of the control group was 9.57(±1.22) immediately and increased to 11.71(±1.13), while the mean PES for the study group was 9.79(±1.19) immediately and increased 12.60(±1.86) f after 4 months. Between the two groups, there was no statistically significant difference in the mean PES. We recorded overall favorable peri-implant soft tissue conditions. The study group showed a higher mean ISQ value than the control group after 4 months (P = 0.019). Conclusions: Although the CAD/CAM immediate provisionalization technique showed better esthetic results in immediate implant placement in the esthetic zone, no statistically significant difference between mean PES in the two groups. The immediate provisionalization technique in the two groups represents a valuable treatment choice for the restoration of the immediate implant in the anterior maxilla.
Immunohistochemistry comparison of Napsin A and CK7 expression in primary lung adenocarcinoma

Background: Lung cancer is the most common cancer worldwide and the leading cause of cancerrelated death. Lung carcinomas are broadly divided into small cell carcinoma and non-small cell lung carcinoma (NSCLC). Non-small cell lung cancer accounts for 80% of lung cancers and lung adenocarcinoma is one of the main types of NSCLC. Here we studied the significance of the commonly used lung adenocarcinoma diagnostic markers, including TTF-1, Napsin A and CK7, in the diagnosis of lung adenocarcinoma using immunohistochemical (IHC) analysis. Aim: To evaluate and compare the significance of IHC markers, CK 7 and Napsin A in diagnosis of lung adenocarcinoma as far as specificity and reliability are concerned. Material and Methods: This study was conducted over a period of 5 years, from 2018 to 2022 which included all cases diagnosed as lung carcinoma on tissue biopsies and later subjected for IHC using relevant markers like CK7, TTF-1, Napsin-A, CK5/6, p63, Synaptophysin and Chromogranin A. 47 cases of lung adenocarcinoma were selected from the retrospective database of lung cancer. Results: Among the 47 cases of lung adenocarcinoma. IHC was done on 41 cases (87.23%). Immunocytochemistry (ICC) was done on 6 cases (12.8%). Lung adenocarcinoma IHC markers study shows CK 7 positive and Napsin-A negative in 21 cases (51.2%). CK 7 negative and Napsin-A positive only in 1 case (2.4%). Both are positive in 16 cases (39.0%) and both were negative in 3 cases (7.3%). ICC was studied in total 6 cases which show CK 7 positivity in 4 cases (66.7%). Only 2 case of ICC show Napsin-A positivity (33.3%). Conclusion: As far as IHC is concerned CK 7 is more reliable and specific than Napsin-A in diagnosis of primary lung adenocarcinoma.
COBOT Applications - Recent Advances and Challenges

This study provides a structured literature review of the recent COllaborative roBOT (COBOT) applications in industrial and service contexts. Several papers and research studies were selected and analyzed, observing the collaborative robot interactions, the control technologies and the market impact. This review focuses on stationary COBOTs that may guarantee flexible applications, resource efficiency, and worker safety from a fixed location. COBOTs offer new opportunities to develop and integrate control techniques, environmental recognition of time-variant object location, and user-friendly programming to interact safely with humans. Artificial Intelligence (AI) and machine learning systems enable and boost the COBOT’s ability to perceive its surroundings. A deep analysis of different applications of COBOTs and their properties, from industrial assembly, material handling, service personal assistance, security and inspection, Medicare, and supernumerary tasks, was carried out. Among the observations, the analysis outlined the importance and the dependencies of the control interfaces, the intention recognition, the programming techniques, and virtual reality solutions. A market analysis of 195 models was developed, focusing on the physical characteristics and key features to demonstrate the relevance and growing interest in this field, highlighting the potential of COBOT adoption based on (i) degrees of freedom, (ii) reach and payload, (iii) accuracy, and (iv) energy consumption vs. tool center point velocity. Finally, a discussion on the advantages and limits is summarized, considering anthropomorphic robot applications for further investigations.
Exploring the Potential Role of ADAM 17 and ADAM 22 in the Etiology of Autism Spectrum Disorders

Background: Autism spectrum disorder (ASD) encompasses a group of disorders characterized by difficulties with social interaction and repetitive behavior. The condition is supposed to originate from early shifts in brain development, while the underlying processes are unknown. Moreover, a considerable number of patients with ASD experience digestive difficulties. Metalloproteases (ADAMs) are a class of enzymes capable of cleaving membrane-bound proteins. Members of this family, ADAM17 and ADAM22, have the ability to cleave proteins like the pro-inflammatory cytokine TNF-ά and glutamate synaptic molecules, which are both engaged in neuro-inflammation and glutamate excitotoxicity as crucial etiological mechanisms in ASD. ADAM17 and ADAM22 may also have a role in ASD microbiota–gut–brain axis connections by regulating immunological and inflammatory responses in the intestinal tract. Subjects and Methods: Using ELISA kits, the plasma levels of ADAM17 and ADAM22 were compared in 40 children with ASD and 40 typically developing children. All of the autistic participants’ childhood autism rating scores (CARS), social responsiveness scales (SRS), and short sensory profiles (SSP) were evaluated as indicators of ASD severity. Results: Our results showed that plasma levels of ADAM17 were significantly lower in ASD children than in control children, while ADAM22 demonstrated non-significantly lower levels. Our data also indicate that while ADAM17 correlates significantly with age, ADAM22 correlates significantly with CARS as a marker of ASD severity. Conclusions: Our interpreted data showed that alteration in ADAM17 and ADAM22 might be associated with glutamate excitotoxicity, neuroinflammation, and altered gut microbiota as etiological mechanisms of ASD and could be an indicator of the severity of the disorder.
Security and Routing in a Disconnected Delay Tolerant Network

Security and Routing in a Disconnected Delay Tolerant Network by Anirudh Kariyatil Chandakara Providing internet access in disaster-affected areas where there is little to no internet connectivity is extremely difficult. This paper proposes an architecture that utilizes existing hardware and mobile applications to enable users to access the Internet while maintaining a high level of security. The system comprises a client application, a transport application, and a server running on the cloud. The client combines data from all supported applications into a single bundle, which is encrypted using an end-to-end encryption technique and sent to the transport. The transport physically moves the bundles to a connected area and forwards them to the server. The server decrypts the bundles and forwards them to the respective application servers. The result is then returned to the original client application via the network of transports used previously. This solution provides a convenient way to establish connectivity in disconnected areas without additional hardware and can accommodate various application data. Furthermore, it ensures data integrity, confidentiality, and authentication by encrypting and validating the data during transmission.
Overview of Mpox Outbreak in Greece in 2022–2023: Is It Over?

In May 2022, for the first time, multiple cases of mpox were reported in several non-endemic countries. The first ever case of the disease in Greece was confirmed on 8 June 2022, and a total of 88 cases were reported in the country until the end of April 2023. A multidisciplinary response team was established by the Greek National Public Health Organization (EODY) to monitor and manage the situation. EODY’s emergency response focused on enhanced surveillance, laboratory testing, contact tracing, medical countermeasures, and the education of health care providers and the public. Even though management of cases was considered successful and the risk from the disease was downgraded, sporadic cases continue to occur. Here, we provide epidemiological and laboratory features of the reported cases to depict the course of the disease notification rate. Our results suggest that measures for raising awareness as well as vaccination of high-risk groups of the population should be continued.
DoStoVoQ : Doubly Stochastic Voronoi Vector Quantization SGD for Federated Learning

The growing size of models and datasets have made distributed implementation 1 of stochastic gradient descent (SGD) an active ﬁeld of research. However the 2 high bandwidth cost of communicating gradient updates between nodes remains 3 a bottleneck; lossy compression is a way to alleviate this problem. We propose a 4 new unbiased Vector Quantizer (VQ), named StoVoQ , to perform gradient quanti-5 zation. This approach relies on introducing randomness within the quantization 6 process, that is based on the use of unitarily invariant random codebooks and on 7 a straightforward bias compensation method. The distortion of StoVoQ signif-8 icantly improves upon existing quantization algorithms. Next, we explain how 9 to combine this quantization scheme within a Federated Learning framework for 10 complex high-dimensional model (dimension > 10 6 ), introducing DoStoVoQ . We 11 provide theoretical guarantees on the quadratic error and (absence of) bias of the 12 compressor, that allow to leverage strong theoretical results of convergence, e
Immobilization of Cellulolytic Enzymes in Accurel® MP1000

Cellulases are a class of enzymes of great industrial interest that present several strategic applications. However, the high cost of enzyme production, coupled with the instabilities and complexities of proteins required for hydrolytic processes, still limits their use in several protocols. Therefore, enzyme immobilization may be an essential tool to overcome these issues. The present work aimed to evaluate the immobilization of cellulolytic enzymes of the commercial enzyme cocktail Celluclast® 1.5 L in comparison to the cellulolytic enzyme cocktail produced from the wild strain Trichoderma harzianum I14-12 in Accurel® MP1000. Among the variables studied were temperature at 40 °C, ionic strength of 50 mM, and 72 h of immobilization, with 15 m·L −1 of proteins generated biocatalysts with high immobilization efficiencies (87% for ACC-Celluclast biocatalyst and 95% for ACC-ThI1412 biocatalyst), high retention of activity, and specific activities in the support for CMCase (DNS method), FPase (filter paper method) and β-glucosidase (p-nitrophenyl-β-D-glucopyranoside method). Presenting a lower protein concentration (0.32 m·L−1) than the commercial Celluclast® 1.5 L preparation (45 m·L−1), the ACC-ThI1412-derived immobilized biocatalyst showed thermal stability at temperatures higher than 60 °C, maintaining more than 90% of the residual activities of FPase, CMCase, and β-glucosidase. In contrast, the commercial-free enzyme presented a maximum catalytic activity at only 40 °C. Moreover, the difference in molecular weight between the component enzymes of the extract was responsible for different hydrophobic and lodging interactions of proteins on the support, generating a robust and competitive biocatalyst.
The Twitter of Donald J. Trump During an Age of Uncertainty: The COVID-19 Pandemic

In the year 2020, the COVID-19 pandemic affected both the public health and political landscapes. When the COVID-19 virus eventually reached American soil, many fabrics of our society were impacted—from the economic, social, and political landscapes. The rhetoric surround COVID-19 had proven to be an essential area of study, especially since it was so timely and continued to be impactful. Undoubtedly, this topic became a major political topic and one that President Trump was very outspoken about—in a variety of ways. This study uses ideological criticism to analyze the Twitter feed of President Donald J. Trump during the COVID-19 pandemic to uncover the sorts of ideologies and narratives his discourse about the virus portrayed; all of which have real world impacts. After conducting a rhetorical analysis, three underlying ideologies were found: First, there was a perpetuation of anti-Asian discrimination and racism. Secondly, an overall distrust in the media that reinforced an overall distrust in science and governmental institutions. Lastly, there was a continued reinforcing of our two-party system that only perpetuates the polarization between the parties.
Secondary Aerosol Formation in Incense Burning Particles by 1 Ozonolysis and Photochemical Oxidation 2 3

Incense burning is a common religious activity that emits abundant gaseous and particulate pollutants into the 18 atmosphere. During their atmospheric lifetime, these gases and particles are subjected to (photo-)oxidation, leading to the 19 formation of secondary pollutants. We examined the oxidation of incense burning plumes under O3 exposure and dark 20 condition using an oxidation flow reactor connected to a single particle aerosol mass spectrometer (SPAMS). Nitrate formation 21 was observed in incense burning particles, mainly attributable to the ozonolysis of nitrogen-containing organic compounds. 22 With UV on, nitrate formation was significantly enhanced, likely due to HNO3/HNO2/NOx uptake triggered by OH chemistry, 23 which is more effective than ozone oxidation. The extent of nitrate formation is insensitive to O3 and OH exposure, which can 24 be explained by the diffusion limitation on interfacial uptake. The OH-aged particles are more oxygenated and functionalized 25 than O3-aged particles. Oxalate and malonate, two typical secondary organic aerosols (SOA), were found in OH-aged particles. 26 Our work reveals that nitrate, accompanied by SOA, can rapidly form in incense-burning particles upon photochemical 27 oxidation in the atmosphere, which could deepen our understanding of air pollution caused by religious activities. 28
Fabrication of Novel Pre-Polymerized BisGMA/Silica Nanocomposites: Physio-Mechanical Considerations

Resin composite mimics tooth tissues both in structure and properties, and thus, they can withstand high biting force and the harsh environmental conditions of the mouth. Various inorganic nano- and micro-fillers are commonly used to enhance these composites’ properties. In this study, we adopted a novel approach by using pre-polymerized bisphenol A-glycidyl methacrylate (BisGMA) ground particles (XL-BisGMA) as fillers in a BisGMA/triethylene glycol dimethacrylate (TEGDMA) resin system in combination with SiO2 nanoparticles. The BisGMA/TEGDMA/SiO2 mixture was filled with various concentrations of XL-BisGMA (0, 2.5, 5, and 10 wt.%). The XL-BisGMA added composites were evaluated for viscosity, degree of conversion (DC), microhardness, and thermal properties. The results demonstrated that the addition of a lower concentration of XL-BisGMA particles (2.5 wt.%) significantly reduced (p ≤ 0.05) the complex viscosity from 374.6 (Pa·s) to 170.84. (Pa·s). Similarly, DC was also increased significantly (p ≤ 0.05) by the addition of 2.5 wt. % XL-BisGMA, with the pristine composite showing a DC of (62.19 ± 3.2%) increased to (69.10 ± 3.4%). Moreover, the decomposition temperature has been increased from 410 °C for the pristine composite (BT-SB0) to 450 °C for the composite with 10 wt. % of XL-BisGMA (BT-SB10). The microhardness has also been significantly reduced (p ≤ 0.05) from 47.44 HV for the pristine composite (BT-SB0) to 29.91 HV for the composite with 2.5 wt. % of XL-BisGMA (BT-SB2.5). These results suggest that a XL-BisGMA could be used to a certain percentage as a promising filler in combination with inorganic fillers to enhance the DC and flow properties of the corresponding resin-based dental composites.
Singular value decomposition for cross-well tomography

I perform singular value decomposition (SVD) on the matrices that result in tomographic velocity estimation from cross‐well traveltimes in isotropic and anisotropic media. The slowness model is parameterized in four ways: One‐dimensional (1-D) isotropic, 1-D anisotropic, two‐dimensional (2-D) isotropic, and 2-D anisotropic. The singular value distribution is different for the different parameterizations. One‐dimensional isotropic models can be resolved well but the resolution of the data is poor. One‐dimensional anisotropic models can also be resolved well except for some variations in the vertical component of the slowness that are not sensitive to the data. In 2-D isotropic models, “pure” lateral variations are not sensitive to the data, and when anisotropy is introduced, the result is that the horizontal and vertical component of the slowness cannot be estimated with the same spatial resolution because the null space is mostly related to horizontal and high frequency variations in the vertical componen.
The Relationship between Bedrock Depth and Site Fundamental Frequency in the Nakdonggang Delta Region, South Korea

This paper describes the relationship between bedrock depth (D) and site fundamental frequency (f0) in the Nakdonggang delta region in the southeastern part of the Korean peninsula. We collected borehole logs to confirm the thickness of the sediments and estimated the f0 at over 200 locations across the delta using the horizontal-to-vertical spectral ratio (HVSR) method. We developed an f0 map of the study area by spatially interpolating the f0 values using the Ordinary Kriging method. The bedrock depth in the main delta showed a power-law dependence on the f0. The derived f0–D model predicted much shallower bedrock depths compared with similar studies from other parts of the world. This was attributed to the fact that the Nakdonggang delta region is composed of relatively low Vs Holocene sediments. With an f0 map, the derived model could enable a quick estimation of the bedrock depth, which could help to determine the site class in the Nakdonggang delta region according to the Korean Seismic Design Standard (KDS 17 10 00).
Hydrocolloids of Egg White and Gelatin as a Platform for Hydrogel-Based Tissue Engineering

Innovative materials are needed to produce scaffolds for various tissue engineering and regenerative medicine (TERM) applications, including tissue models. Materials derived from natural sources that offer low production costs, easy availability, and high bioactivity are highly preferred. Chicken egg white (EW) is an overlooked protein-based material. Whilst its combination with the biopolymer gelatin has been investigated in the food technology industry, mixed hydrocolloids of EW and gelatin have not been reported in TERM. This paper investigates these hydrocolloids as a suitable platform for hydrogel-based tissue engineering, including 2D coating films, miniaturized 3D hydrogels in microfluidic devices, and 3D hydrogel scaffolds. Rheological assessment of the hydrocolloid solutions suggested that temperature and EW concentration can be used to fine-tune the viscosity of the ensuing gels. Fabricated thin 2D hydrocolloid films presented globular nano-topography and in vitro cell work showed that the mixed hydrocolloids had increased cell growth compared with EW films. Results showed that hydrocolloids of EW and gelatin can be used for creating a 3D hydrogel environment for cell studies inside microfluidic devices. Finally, 3D hydrogel scaffolds were fabricated by sequential temperature-dependent gelation followed by chemical cross-linking of the polymeric network of the hydrogel for added mechanical strength and stability. These 3D hydrogel scaffolds displayed pores, lamellae, globular nano-topography, tunable mechanical properties, high affinity for water, and cell proliferation and penetration properties. In conclusion, the large range of properties and characteristics of these materials provide a strong potential for a large variety of TERM applications, including cancer models, organoid growth, compatibility with bioprinting, or implantable devices.
Graph Embedding based Tensor Analysis for Gait Recognition

— Human gait recognition faces the challenge in feature extraction due to covariate conditions such as carrying and clothing, view angle, aging and other several. The large amount of data is generated while analyzing the silhouettes of anindividual subject through different covariates. This leads to the higher computational cost and curse of dimensionality. In interest of paring down the same a graph embedding framework technique isenforced wherein any dimensionality reduction algorithm can be characterized in a common framework. An image when considered as a second order tensor helps in capturing the spatial relationship between the pixels. In this paper the tensor based dimensionality reduction algorithm is expressedthrough a graph embedding framework which helps to find out the hidden information lying in the lower dimensions of the manifold.
Examining the Impact of Students' Familiarity with Information and Communications Technology on Education Equity Using Data from Students in Four Provinces and Cities in China

Using mediation analyses, this study analyzes PISA 2015 scientific literacy computerized assessment data collected from students in Beijing, Shanghai, Jiangsu, and Guangdong, and examines the relationship between students' familiarity with information and communications technology and educational equity. The study also offers recommendations based on the results while providing empirical support for reducing digital educational inequities as well as differences in academic literacy performance between students of different socioeconomic and cultural statuses.
Immunotherapeutic Development of a Tri-Specific NK Cell Engager Recognizing BCMA

Chemotherapy-refractive multiple myeloma (MM) is serious and life-threatening, and better treatments are urgently needed. BCMA is a prominent marker on the cell surface of MM cells, rendering it an accepted target for antibody therapy. Considering that MM is a liquid tumor and immunotherapy has enjoyed success against leukemia, we devise an approach designed to enhance NK cell activity against MM. Ordinarily, NK cells function to naturally survey the body and eliminate malignant cells. Our platform approach is designed to enhance NK function. A tri-specific immune-engaging TriKE is manufactured, consisting of a camelid nanobody VHH antibody fragment recognizing CD16 expressed on NK cells and an scFv antibody fragment specifically recognizing BCMA. These two fragments are crosslinked by the human cytokine interleukin-15 (IL-15) known to have prominent activating effects on NK cells. The molecule, when tested by flow cytometry, shows activation of NK cells in their numbers and activity. Additionally, the molecule demonstrates anti-cancer effects in an in vivo xenograft model of human MM. We believe that the drug will have the capability of enhancing NK cells at the site of the immune synapse, i.e., the effector:target cell interface, and this will promote cancer remissions.